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Journal articles on the topic 'Wideband signals'

Author: Grafiati

Published: 4 June 2021

Last updated: 19 February 2022

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1

Fengzhen, Zhang, Li Guijuan, Zhang Zhaohui, and Hu Chen. "Doppler shift extraction of wideband signal using spectrum scaling matching." MATEC Web of Conferences 208 (2018): 01001. http://dx.doi.org/10.1051/matecconf/201820801001.

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Doppler shift is an important feature of moving targets. It can be used to extract target velocity, distance, track and other movement parameters. According to the problem of extracting Doppler shift for wideband signals with unstable line spectrum or no line spectrum, we proposed a Doppler shift extraction method for wideband signals based on spectral scaling matching. Firstly, a spectrum reference matrix corresponding to different relative Doppler shift is generated. Then, the matching degree of Doppler signal spectrum and reference matrix is measured by linear correlation coefficient. Finally, the Doppler shift of wideband signals is extracted through matching degree optimization. Simulation results show that the proposed method can extract the Doppler shift characteristics of wideband signals effectively.

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2

Ahmad, Zeeshan, Yaoliang Song, and Qiang Du. "Wideband DOA estimation based on incoherent signal subspace method." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 37, no. 3 (May 8, 2018): 1271–89. http://dx.doi.org/10.1108/compel-10-2017-0443.

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Purpose Direction-of-arrival (DOA) estimation for wideband sources has attracted a growing interest in the recent decade because wideband sources are incorporated in many real-world applications such as communication systems, radar, sonar and acoustics. One way to estimate the DOAs of wideband signals is to decompose it into narrowband signals using discrete Fourier transform (DFT) and then apply well-established narrowband algorithms to each signal. Afterwards, results are averaged to yield the final DOAs. These techniques require scanning the full band of wideband sources, ultimately degrading the resolution and increasing complexity. This paper aims to propose a new DOA estimation methodology to solve these problems. Design/methodology/approach The new DOA estimation methodology is based on incoherent signal subspace method (ISSM). The proposed approach presents a criterion to select a single sub-band of the selected narrowband signals instead of scanning the whole signal spectrum. Then, the DOAs of wideband signals are estimated using the selected sub-band. Therefore, it is named as single sub-band (SSB)-ISSM. Findings The computational complexity of the proposed method is much lower than that of traditional DFT-based methods. The effectiveness and advantages of the proposed methodology are theoretically investigated, and computational complexity is also addressed. Originality/value To verify the theoretical analysis, computer simulations are implemented, and comparisons with other algorithms are made. The simulation results show that the proposed method achieves better performance and accurately estimates the DOAs of wideband sources.

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3

Li, Li. "Cramer-Rao Bound for Parameter Estimation in Bistatic MIMO Radar." Applied Mechanics and Materials 513-517 (February 2014): 3385–88. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.3385.

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The problem of Cramér-Rao bound for parameter estimation in wideband bistatic Multiple-Input Multiple-Output (MIMO) radar system is considered. In many applications, it is not appropriate to approximate the wideband signal by the narrowband model. In this paper, we propose a new wideband signal model to accurately estimate parameter for wideband signals from a moving target. The Cramér-Rao bound for target parameter estimation is derived and computed in closed form which shows that the optimal performance is achieved. Target location and parameter estimation performances are evaluated and studied theoretically and via simulations.

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Bogdanovich, V. A., A. G. Vostretsov, and K. Yu Kolomenskiy. "Robust demodulation of wideband signals." Journal of Communications Technology and Electronics 52, no. 7 (July 2007): 765–72. http://dx.doi.org/10.1134/s106422690707008x.

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5

Ellis, John G., and Bruce L. Townsend. "Transmission of wideband speech signals." Journal of the Acoustical Society of America 93, no. 6 (June 1993): 3540. http://dx.doi.org/10.1121/1.405366.

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6

Nawab, S., F. Dowla, and R. Lacoss. "Direction determination of wideband signals." IEEE Transactions on Acoustics, Speech, and Signal Processing 33, no. 5 (October 1985): 1114–22. http://dx.doi.org/10.1109/tassp.1985.1164705.

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7

Zhen, Jiaqi. "Detection of Wideband Signal Number Based on Bootstrap Resampling." International Journal of Antennas and Propagation 2016 (2016): 1–8. http://dx.doi.org/10.1155/2016/3856727.

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Knowing source number correctly is the precondition for most spatial spectrum estimation methods; however, many snapshots are needed when we determine number of wideband signals. Therefore, a new method based on Bootstrap resampling is proposed in this paper. First, signals are divided into some nonoverlapping subbands; apply coherent signal methods (CSM) to focus them on the single frequency. Then, fuse the eigenvalues with the corresponding eigenvectors of the focused covariance matrix. Subsequently, use Bootstrap to construct the new resampling matrix. Finally, the number of wideband signals can be calculated with obtained vector sequences according to clustering technique. The method has a high probability of success under low signal to noise ratio (SNR) and small number of snapshots.

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8

Wei, Hong Kai, Ping Bo Wang, Jing Xiang Yin, and Chun Lei Zhang. "Research on the Performance of Sub-Band STAP for Wideband Interference Suppression." Advanced Materials Research 756-759 (September 2013): 1724–28. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.1724.

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Sub-band space-time adaptive processing (STAP), which decomposes the wideband signal using sub-band filter bank, is the common intuitive way to suppress wideband interference. Based on studying angel-frequency distribution characteristics of wideband, sub-band interference and echo signal in space-time plane, the paper gives the physical significance of sub-band interference and echo signals space-time distribution and thus reveals theoretically the fundamental reason for the poor performance of sub-band STAP. Furthermore, the paper outlines the novel way for wideband linear frequency modulation (LFM) interference cancellation in the three-dimensional space-fractional Fourier domain.

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9

Thanh, Hán Trọng, Nguyen Thanh Chuyen, and Nguyen Xuan Quyen. "DOA Estimation Method for CHAOS Radar System." Journal of Science and Technology: Issue on Information and Communications Technology 17, no. 12.2 (December 9, 2019): 35. http://dx.doi.org/10.31130/ict-ud.2019.84.

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CHAOS signal has been drawing a lot of research interest recently due to its performance in security systems. In this paper, an approach to estimate the direction of target for Distributed Chaos Radar System using Total Forward - Backward Matrix Pencil (TFBMP) algorithm. This algorithm works directly on signal samples of signals received by M – element Uniform Linear Antenna array. Therefore, the correlation between the received signals does not significantly impact on its performance and efficiency. This fact permits us to estimate not only wideband incoherent signals but also wideband coherent signals. Furthermore, this algorithm can also extract the Direction Of Arrival (DOA) with only one snapshot of signal, which means that the sampling frequency in real time receivers can be considerably reduced. The simulation results for DOA of incoming CHAOS signals using the proposed approach will be shown and analyzed to verify its performance.

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10

He, Bin. "Improved TOPS about Direction of Arrival Estimation for Wideband Signals." Applied Mechanics and Materials 105-107 (September 2011): 2051–54. http://dx.doi.org/10.4028/www.scientific.net/amm.105-107.2051.

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The study about the direction-of-arrival (DOA) estimation for wideband signals is a basic topic of Signal Processing. The method called test of orthogonality of projected subspaces (TOPS) does not require initial values to form focusing matrix compared with the coherent signal subspace method (CSSM), but it has poor performance for coherent wideband signals at low signal-to-noise ratio (SNR). Based on the lack of the conventional TOPS, this paper reconstructs a set of new matrices with the narrowband correlated matrices coming from the DFT decomposition of the array output and modifies the method frame of the conventional TOPS. So we get a set of reconstructed matrices with full rank corresponding to each frequency bin, and which have no array aperture loss. The improved TOPS can estimate the DOA for coherent wideband sources at low SNR, and enhances the performance of the conventional TOPS. Simulation results show that the improved TOPS is effective, and the total performance of which is similar to the rotational signal-subspace (RSS) method.

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11

Wu, Ben, Yang Qi, Chenxi Qiu, and Ying Tang. "Wideband Anti-Jamming Based on Free Space Optical Communication and Photonic Signal Processing." Sensors 21, no. 4 (February 6, 2021): 1136. http://dx.doi.org/10.3390/s21041136.

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We propose and demonstrate an anti-jamming system to defend against wideband jamming attack. Free space optical communication is deployed to provide a reference for jamming cancellation. The mixed signal is processed and separated with photonic signal processing method to achieve large bandwidth. As an analog signal processing method, the cancellation system introduces zero latency. The radio frequency signals are modulated on optical carriers to achieve wideband and unanimous frequency response. With wideband and zero latency, the system meets the key requirements of high speed and real-time communications in transportation systems.

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12

Mohammed, Bassim Sayed, and Dalya Khalid Hasan. "Estimating Angle of Arrival (AOA) for Wideband Signal by Sensor Delay Line (SDL) and Tapped Delay Line (TDL) Processors." Journal of Engineering 24, no. 4 (March 31, 2018): 96. http://dx.doi.org/10.31026/j.eng.2018.04.07.

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Angle of arrival (AOA) estimation for wideband signal becomes more necessary for modern communication systems like Global System for Mobile (GSM), satellite, military applications and spread spectrum (frequency hopping and direct sequence). Most of the researchers are focusing on how to cancel the effects of signal bandwidth on AOA estimation performance by using a transversal filter (tap delay line) (TDL). Most of the researchers were using two elements array antenna to study these effects. In this research, a general case of proposed (M) array elements is used. A transversal filter (TDL) in phase adaptive array antenna system is used to calculate the optimum number of taps required to compensate these effect. The proposed system uses a phase adaptive array antenna in conjunction with LMS algorithm to work an angle of arrival (AOA) estimator for wideband signals rather than interference canceller. An alternative solution to compensate for the effect of signal bandwidth is proposed by using sensor delay line (SDL) instead of fixed delay unit since it has variable time sampling in the time domain and not fixed time delay, depending on the angle of arrival of received signals. The proposed system has the ability to estimate two parameters for received signals simultaneously (the output Signal to Noise Ratio (SNR) and AOA), unlike others systems which estimate AOA only. The comparison of the simulation results with Multiple Signal Classification (MUSIC) technique showed that the proposed system gives good results for estimating AOA and the output SNR for wideband signals. (SDL) processor shows better performance result than (TDL) processor. MUSIC technique with both (SDL) and (TDL) processors shows unacceptable results for estimating (AOA) for the wideband signal.

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13

Chen, Yangyi, Shaojing Su, and Junyu Wei. "A Policy for Optimizing Sub-Band Selection Sequences in Wideband Spectrum Sensing." Sensors 19, no. 19 (September 21, 2019): 4090. http://dx.doi.org/10.3390/s19194090.

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With the development of wireless communication technology, cognitive radio needs to solve the spectrum sensing problem of wideband wireless signals. Due to performance limitation of electronic components, it is difficult to complete spectrum sensing of wideband wireless signals at once. Therefore, it is required that the wideband wireless signal has to be split into a set of sub-bands before the further signal processing. However, the sequence of sub-band perception has become one of the important factors, which deeply-impact wideband spectrum sensing performance. In this paper, we develop a novel approach for sub-band selection through the non-stationary multi-arm bandit (NS-MAB) model. This approach is based on a well-known order optimal policy for NS-MAB mode called discounted upper confidence bound (D-UCB) policy. In this paper, according to different application requirements, various discount functions and exploration bonuses of D-UCB are designed, which are taken as the parameters of the policy proposed in this paper. Our simulation result demonstrates that the proposed policy can provide lower cumulative regret than other existing state-of-the-art policies for sub-band selection of wideband spectrum sensing.

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14

Li, Jun, Nuan Song, Shuang Xu, and Xiang Nan Xu. "Parameter Estimation of Wideband Cyclostationary Sources Based on Uni-Vector-Sensor." Applied Mechanics and Materials 347-350 (August 2013): 932–36. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.932.

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Based on uni-vector-sensor, a new algorithm was proposed for two-dimension (2-D) direction of arrival (DOA) and polarization of the wideband cyclostationary sources embedded in colored noise. By sufficiently utilizing the cyclostationarity of the signals, the proposed method not only performed signal selective DOA, but also suppressed additive colored noise and wideband interference. The signal detection capability is significantly improved. Simulations illustrate the efficacy of the algorithm.

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Li, Xiangzhi, Weijia Cui, Haiyun Xu, Songtao Yang, Hao Li, Yankui Zhang, and Bin Ba. "Joint 2-D angles and time delay estimation of coherent wideband signals." MATEC Web of Conferences 309 (2020): 01006. http://dx.doi.org/10.1051/matecconf/202030901006.

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Joint direction of arrival (DOA) and time delay (TD) estimation of wideband signals such as WIFI and mobile communication signals has to face the challenges aroused by multipath effect in indoor environments. New methods that can deal with coherent wideband signals with high estimation accuracy are necessary. To achieve localization when signals are coherent, this paper proposes a new joint estimation method which fully utilizes the subcarriers of wideband signals. This method could greatly extend the array aperture and accomplish the joint estimation through UCA-ESPRIT and one-dimensional (1-D) search. Simulation experiments are conducted to show the validity and efficiency of this method.

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16

Dufaux, Alain, Laurent Besacier, Michael Ansorge, and Fausto Pellandini. "Automatic classification of wideband acoustic signals." Journal of the Acoustical Society of America 105, no. 2 (February 1999): 1359–60. http://dx.doi.org/10.1121/1.426440.

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17

Daniels, D. J. "Resolution of ultra-wideband radar signals." IEE Proceedings - Radar, Sonar and Navigation 146, no. 4 (1999): 189. http://dx.doi.org/10.1049/ip-rsn:19990489.

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18

Bartoletti, Stefania, Andrea Conti, and Moe Z. Win. "Device-Free Counting via Wideband Signals." IEEE Journal on Selected Areas in Communications 35, no. 5 (May 2017): 1163–74. http://dx.doi.org/10.1109/jsac.2017.2680978.

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19

Tripathi, V., A. Mantravadi, and V. V. Veeravalli. "Channel acquisition for wideband CDMA signals." IEEE Journal on Selected Areas in Communications 18, no. 8 (August 2000): 1483–94. http://dx.doi.org/10.1109/49.864012.

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20

Lin, Zhen‐biao. "Wideband ambiguity function of broadband signals." Journal of the Acoustical Society of America 83, no. 6 (June 1988): 2108–16. http://dx.doi.org/10.1121/1.396391.

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21

Dvornikov, S. V., A. V. Pshenichnikov, S. S. Dvornikov, V. V. Borisov, and G. S. Potapov. "Ultra-wideband ultra-short pulse communication system." Radio industry (Russia) 31, no. 1 (April 7, 2021): 16–27. http://dx.doi.org/10.21778/2413-9599-2021-31-1-16-27.

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Problem statement. The development and design of radio communication systems with enhanced structural and energy stealth properties are of the greatest interest in modern radio engineering. One method of implementing such radio systems is the use of ultra-wideband signals. Despite advances in radio engineering theory, the development and design of ultra-wideband radio systems are at the initial stage. The results obtained in this subject area are not systematized, limiting their practical application and indicating the relevance of the chosen research problem.The study's objective is to formalize an approach to the design and performance assessment of ultra-wideband radio systems based on statistical radio engineering methods. Bringing the obtained theoretical solutions to the level of practical implementation in a radio station layout.Results. The analysis of available theoretical and practical solutions in the subject area of ultra-wideband radio systems is carried out. The principles of development and evaluation taking into account the characteristics of radio equipment elements are justified. A model of an ultra-wideband radio pulse is presented. The requirements of guiding documents are summarized, based on which the requirements for radio equipment are clarified. The criteria for the formation and processing of ultra-wideband signals are determined. An approach to controlling the parameters of the applied signals is considered. The criterion of increasing the efficiency of radio systems is justified. An approach to calculating the size of the pulse packs defining the signal symbols is developed. Analytical calculations are presented following the developed approach.Practical implications. The authors developed a model of an ultra-wideband radio station based on LLC Scientific Production Enterprise "New Telecommunications Technologies". The obtained practical solutions can be used in the field of practical implementation of ultra-wideband radio communication systems

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22

Minasian, Robert A. "Ultra-Wideband and Adaptive Photonic Signal Processing of Microwave Signals." IEEE Journal of Quantum Electronics 52, no. 1 (January 2016): 1–13. http://dx.doi.org/10.1109/jqe.2015.2499729.

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23

Ying, Kuangyuan, Hao Gao, Dusan Milosevic, and Peter Baltus. "A Nonlinear Transfer Function Based Receiver for Wideband Interference Suppression." Journal of Sensors 2017 (2017): 1–15. http://dx.doi.org/10.1155/2017/2405942.

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Wideband receivers for multistandards operation can simplify the system and lower the cost. In a wideband receiver, the tolerance of large interference signal within the operating band is important. Traditional frequency-domain filtering suffers from lacking in filtering capability for in-band interference signals. This paper describes a receiver system exploiting nonlinear transfer function. Based on the fundamental nonlinear theory, the receiver with nonlinear method can provide frequency-independent filtering for large blockers and linear amplification for weak desired signals simultaneously. The interference suppression performance depends on the amplitude discrimination between the envelope of the large and small signal. The operation of the nonlinear receiver is based on the amplitude of the interferer envelope. A feedforward path is designed to extract the envelope information of the interferer and a feedback path is added to keep track of the environment. With frequency-independent filtering, the nonlinear receiver system enhances both in-band and out-of-band linearity, thus enabling wideband multimode operation.

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24

Cui, Yue, Junfeng Wang, Jie Qi, Zhanying Zhang, and Jinqi Zhu. "Underdetermined DOA Estimation of Wideband LFM Signals Based on Gridless Sparse Reconstruction in the FRF Domain." Sensors 19, no. 10 (May 24, 2019): 2383. http://dx.doi.org/10.3390/s19102383.

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An underdetermined direction of arrival (DOA) estimation method of wideband linear frequency modulated (LFM) signals is proposed without grid mismatch. According to the concentration property of LFM signal in the fractional Fourier (FRF) domain, the received sparse model of wideband signals with time-variant steering vector is firstly derived based on a coprime array. Afterwards, by interpolating virtual sensors, a virtual extended uniform linear array (ULA) is constructed with more degrees of freedom, and its covariance matrix in the FRF domain is recovered by employing sparse matrix reconstruction. Meanwhile, in order to avoid the grid mismatch problem, the modified atomic norm minimization is used to retrieve the covariance matrix with the consecutive basis. Different from the existing methods that approximately assume the frequency and the steering vector of the wideband signals are time-invariant in every narrowband frequency bin, the proposed method not only can directly solve more DOAs of LFM signals than the number of physical sensors with time-variant frequency and steering vector, but also obtain higher resolution and more accurate DOA estimation performance by the gridless sparse reconstruction. Simulation results demonstrate the effectiveness of the proposed method.

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25

Wei Li, Wei Li, Ming Li Ming Li, and and Ninghua Zhu and Ninghua Zhu. "Photonic generation of background-free millimeter-wave ultra-wideband signals (Invited Paper)." Chinese Optics Letters 15, no. 1 (2017): 010007–10011. http://dx.doi.org/10.3788/col201715.010007.

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26

Zikiy, A., P. Zlaman, and K. Rumyantsev. "Wideband centimetre range detector." E3S Web of Conferences 224 (2020): 01034. http://dx.doi.org/10.1051/e3sconf/202022401034.

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An experimental study of the diode detector of the centimeter wavelength range has been carried out. A brief description of the circuit and design is given. The experiment was carried out on an installation containing a standard signal generator, a digital oscilloscope, a power supply, and a offset panel. The results of the experiment are the amplitude and amplitude-frequency characteristics of the detector. The following parameters have been shown to be achieved: operating frequency range of at least 8-18 GHz, voltage sensitivity of at least 100 μV / μW, dynamic range of input signals at least 35 dB, voltage sensitivity unevenness of no more than 1.6 dB.

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27

Namin, Reyhaneh L., and Shahin J. Ashtiani. "Effect of ADC Resolution on Low-Frequency Electrical Time-Domain Impedance Spectroscopy." Metrology and Measurement Systems 24, no. 2 (June 27, 2017): 425–36. http://dx.doi.org/10.1515/mms-2017-0019.

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AbstractIn this paper, the effect of the resolution of an analogue-to-digital converter (ADC) on the accuracy of timedomain low-frequency electrical impedance spectroscopy is examined. For the first time, we demonstrated that different wideband stimuli signals used for impedance spectroscopy have different sensitivities to the resolution of ADC used in impedance spectroscopy systems. We also proposed Ramp and Half-Gaussian signals as new wideband stimulating signals for EIS. The effect of ADC resolution was studied for Sinc, Gaussian, Half-Gaussian, and Ramp excitation signals using both simulation and experiments. We found that Ramp and Half-Gaussian signals have the best performance, especially at low frequencies. Based on the results, a wideband electrical impedance spectroscopy circuit was implemented with a high accuracy at frequencies bellow 10 Hz.

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Wang, Yu Lin, Geng Xin Zhang, Feng Bin Peng, Dong Ming Bian, and Jing Hu. "Wideband Signal Detection in Deep Space Communication." Applied Mechanics and Materials 556-562 (May 2014): 5089–92. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.5089.

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A cooperative wideband signal detection approach in deep space communication is designed in this paper. In order to implement autonomous communication between explorers, detectors and satellites, we need to detect signal in advance. There are sparse active signals in the shadowing deep space environment, whose frequency support only occupies a small portion of a wide spectrum. Compressed sensing (CS) is a new technique which is able to utilize the sparsity of deep space communication signal. Wideband signal is sampled one time only with low sampling rate, and then signal spectrum is recovered by reconstruction algorithms. A discrete cosine transform (DCT) based compressed spectrum detection method has been studied which can significantly improve the probability of signal detection. Simulation result show the effectiveness of our new detect scheme in deep space communication.

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29

Shi, Yunmei, Xing-Peng Mao, Chunlei Zhao, and Yong-Tan Liu. "Underdetermined DOA Estimation for Wideband Signals via Joint Sparse Signal Reconstruction." IEEE Signal Processing Letters 26, no. 10 (October 2019): 1541–45. http://dx.doi.org/10.1109/lsp.2019.2937381.

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30

Liu, Yifei, Yuan Zhao, Jun Zhu, Jun Wang, and Bin Tang. "A Switched-Element System Based Direction of Arrival (DOA) Estimation Method for Un-Cooperative Wideband Orthogonal Frequency Division Multi Linear Frequency Modulation (OFDM-LFM) Radar Signals." Sensors 19, no. 1 (January 2, 2019): 132. http://dx.doi.org/10.3390/s19010132.

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This paper proposes a switched-element direction finding (SEDF) system based Direction of Arrival (DOA) estimation method for un-cooperative wideband Orthogonal Frequency Division Multi Linear Frequency Modulation (OFDM-LFM) radar signals. This method is designed to improve the problem that most DOA algorithms occupy numbers of channel and computational resources to handle the direction finding for wideband signals. Then, an iterative spatial parameter estimator is designed through deriving the analytical steering vector of the intercepted OFDM-LFM signal by the SEDF system, which can remarkably mitigate the dispersion effect that is caused by high chirp rate. Finally, the algorithm flow and numerical simulations are given to corroborate the feasibility and validity of our proposed DOA method.

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Pokrajac, Ivan, and Desimir Vucic. "Wideband cyclic music algorithms: A frequency-domain approach." Facta universitatis - series: Electronics and Energetics 23, no. 3 (2010): 367–78. http://dx.doi.org/10.2298/fuee1003367p.

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In this paper, we propose two spectral cyclic MUSIC DOA estimation algorithms for wideband cyclostationary signals: the wideband spectral cyclic conjugateMUSIC (WSCCM) algorithm and the extended wideband spectral cyclicMUSIC (EWSCM) algorithm. The proposed algorithms can be applied to estimate the spectral cyclic conjugate correlation matrix and the extended spectral cyclic correlation matrix of wideband cyclostationary signals. The presented algorithms do not require any knowledge of the optimal time lag parameter, which appears in the similar algorithms in time domain. In the proposed algorithms, the DOAs are estimated at each spectral component of the selected frequency band for a cyclic frequency of interest. This can be used to form the azimuth cyclic frequency diagram, similar to the azimuth frequency diagram in wideband direction-finding systems. Some simulation results are provided to confirm the theoretical findings.

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32

Weiss, Lora G. "Wideband inverse scattering and wideband deconvolution of acoustic signals using wavelet transforms." Journal of the Acoustical Society of America 94, no. 6 (December 1993): 3520. http://dx.doi.org/10.1121/1.407188.

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33

Liu, Fu Gang, and Ming Diao. "A Novel DOA Estimation Method for Wideband Signals." Advanced Materials Research 403-408 (November 2011): 2861–65. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.2861.

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For direction of arrival (DOA) estimation of wideband signals, the traditional algorithms’ estimating accuracy and complexity were mainly affected by pre-estimation of DOA. By forming an angle set which elements were arithmetic progressions in the range of possible arriving angles, the algorithm used the new angle vector to replace the preliminary estimation of arriving angles. It can avoid the impact of pre-estimation bias on performance of DOA estimation and greatly reduce the amount of computation and the consumed time for DOA estimation to favor the real-time application of wideband DOA estimation. The simulation results showed that the proposed algorithm was able to provide significant performance improvement over the conventional algorithm.

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Sknarya, Anatoly V., Anatoly A. Razin, Sergey A. Toshchov, and Aleksey I. Demidov. "ULTRA WIDEBAND SOUNDING SIGNALS IN HYDROACOUSTIC SYSTEMS." Radioelectronics. Nanosystems. Information Technologies 10, no. 2 (October 2018): 209–12. http://dx.doi.org/10.17725/rensit.2018.10.209.

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Butsenko, Maksim, Johan Sward, and Andreas Jakobsson. "Estimating Sparse Signals Using Integrated Wideband Dictionaries." IEEE Transactions on Signal Processing 66, no. 16 (August 15, 2018): 4170–81. http://dx.doi.org/10.1109/tsp.2018.2835426.

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Yeo-Sun Yoon, L. M. Kaplan, and J. H. McClellan. "TOPS: new DOA estimator for wideband signals." IEEE Transactions on Signal Processing 54, no. 6 (June 2006): 1977–89. http://dx.doi.org/10.1109/tsp.2006.872581.

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37

Iverson, D. E. "Coherent processing of ultra-wideband radar signals." IEE Proceedings - Radar, Sonar and Navigation 141, no. 3 (1994): 171. http://dx.doi.org/10.1049/ip-rsn:19941164.

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Ekrem, Ersen, Mutlu Koca, and Hakan Delic. "Iterative Synchronization of Multiuser Ultra-Wideband Signals." IEEE Transactions on Wireless Communications 9, no. 10 (October 2010): 3040–51. http://dx.doi.org/10.1109/twc.2010.072610.081419.

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39

Anderson, Mark R., and Robert P. Parker. "Wideband expander for stereo and SAP signals." Journal of the Acoustical Society of America 93, no. 6 (June 1993): 3544. http://dx.doi.org/10.1121/1.405337.

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40

Moulthrop, A. A., and M. S. Muha. "Measurement accuracy enhancements for wideband modulated signals." International Journal of RF and Microwave Computer-Aided Engineering 13, no. 1 (December 17, 2002): 32–39. http://dx.doi.org/10.1002/mmce.10060.

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Yang, L., and G. B. Giannakis. "Timing Ultra-Wideband Signals With Dirty Templates." IEEE Transactions on Communications 53, no. 11 (November 2005): 1952–63. http://dx.doi.org/10.1109/tcomm.2005.858663.

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Zhang, Honglei, Dennis L. Goeckel, Shuangqing Wei, and Moe Z. Win. "Rapid Hybrid Acquisition of Ultra-Wideband Signals." Journal of VLSI signal processing systems for signal, image and video technology 43, no. 1 (April 2006): 7–23. http://dx.doi.org/10.1007/s11265-006-7277-z.

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Gabrielaitis, Mantas. "Fast and accurate demodulation of wideband signals." Journal of the Acoustical Society of America 149, no. 4 (April 2021): A132. http://dx.doi.org/10.1121/10.0004762.

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Benton, David M. "Photonic Processing for Wideband Cancellation and Spectral Discrimination of RF Signals." Advances in Optical Technologies 2013 (December 5, 2013): 1–8. http://dx.doi.org/10.1155/2013/738427.

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Photonic signal processing is used to implement common mode signal cancellation across a very wide bandwidth utilising phase modulation of radio frequency (RF) signals onto a narrow linewidth laser carrier. RF spectra were observed using narrow-band, tunable optical filtering using a scanning Fabry Perot etalon. Thus functions conventionally performed using digital signal processing techniques in the electronic domain have been replaced by analog techniques in the photonic domain. This technique was able to observe simultaneous cancellation of signals across a bandwidth of 1400 MHz, limited only by the free spectral range of the etalon.

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Ershov, Roman, and Oleg Morozov. "Methods for mutual time delay estimation of wideband signals based on nonlinear digital filtering." ITM Web of Conferences 30 (2019): 03008. http://dx.doi.org/10.1051/itmconf/20193003008.

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Methods for mutual time delay estimation of wideband signals propagating in satellite communication systems are proposed. The signals are propagated in different channels and received with low signal-to-noise ratio. A characteristic feature of satellite channel is the presence of the Doppler Effect, which leads to a shift and scaling the signal spectrums. The proposed approaches are based on the separation of narrow-band channels from the studied signals, using non-linear digital filtering algorithms in each channel, and subsequent optimal (correlation) processing. The accuracy of the proposed methods and the reliability of the determination of time delay are investigated.

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Ma, Ning, and Jian Xin Wang. "Wideband LFM Signal Parameter Estimation Based on Compressed Sensing Theory." Applied Mechanics and Materials 548-549 (April 2014): 1160–65. http://dx.doi.org/10.4028/www.scientific.net/amm.548-549.1160.

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Compressed sensing (CS) theory breaks through the limitations of the traditional Nyquist sampling theorem, and accomplishes the compressed sampling and reconstruction of signals based on sparsity or compressibility. In this paper, CS theory is used to do the parameter estimation of wideband Linear Frequency Modulated (LFM) signal in order to decrease the sampling pressure. A novel method that reconstructs the edge information of the LFM spectrum based on wavelet transform and CS theory is proposed. On the basis that the wideband LFM signal has approximate rectangular spectrum, the wavelet-based edge detection is introduced to provide sparse representation for the signal spectrum. The edges of the spectrum can be reconstructed by the CS reconstruction algorithms. Consequently, the initial frequency and final frequency of wideband LFM signal can be estimated with high estimation precision. The effectiveness of the proposed method is confirmed with numerical simulation.

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Iwakiri, Naohiko, Natsuki Hashimoto, and Takehiko Kobayashi. "Performance Analysis of Ultra-Wideband Channel for Short-Range Monopulse Radar at Ka-Band." Journal of Electrical and Computer Engineering 2012 (2012): 1–9. http://dx.doi.org/10.1155/2012/710752.

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High-range resolution is inherently provided with Ka-band ultra-wideband (UWB) vehicular radars. The authors have developed a prototype UWB monopulse radar equipped with a two-element receiving antenna array and reported its measurement results. In this paper, a more detailed verification using these measurements is presented. The measurements were analyzed employing matched filtering and eigendecomposition, and then multipath components were extracted to examine the behavior of received UWB monopulse signals. Next, conventional direction finding algorithms based on narrowband assumption were evaluated using the extracted multipath components, resulting in acceptable angle-of-arrival (AOA) from the UWB monopulse signal regardless of wideband signals. Performance degradation due to a number of averaging the received monopulses was also examined to design suitable radar's waveforms.

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Zhang, Kun-feng, Ying Guo, and Zisen Qi. "A Parameter Estimation Algorithm for Multiple Frequency-Hopping Signals Based on Sparse Bayesian Method." Mathematical Problems in Engineering 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/6129120.

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Parameter estimation and network sorting for noncooperative wideband frequency-hopping (FH) signals have been essential and challenging tasks, especially in the case with little or even no prior information at all. In this paper, we propose a nearly blind estimation approach to estimate signal parameters based on sparse Bayesian reconstruction. Taking the sparsity in the spatial frequency domain of multiple FH signals into account, we propose a sparse Bayesian algorithm to estimate the spatial frequency parameters. As a result, the frequency and direction of arrival (DOA) parameters can be obtained. In order to improve the accuracy of the estimation parameters, we employ morphological filter methods to further clean the data poisoned by the noise. Moreover, our method is applicable to the wideband signal models with little prior information. We also conduct extensive numerical simulations to verify the performance of our method. Notably, the proposed method works well even in low signal-to-noise ratio (SNR) environment.

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Lei, Ziwei, Peng Yang, Linhua Zheng, Hui Xiong, and Hong Ding. "Frequency Hopping Signals Tracking and Sorting Based on Dynamic Programming Modulated Wideband Converters." Applied Sciences 9, no. 14 (July 19, 2019): 2906. http://dx.doi.org/10.3390/app9142906.

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Most of the earlier tracking and network sorting approaches with a high sampling rate for frequency hopping (FH) signals did not adapt to the wideband system during their implementation, whereas the sub-Nyquist based algorithms cannot satisfy the real-time requirement for dealing with the rapid change of sparsity. It is important to improve the compressed sensing (CS) methods for tracking and sorting wideband FH signals. In this paper, a dynamic programming modulated wideband converters (MWC) scheme is proposed. First, considering the wide gap of FH signals, an improved power estimation method is proposed to track the support set in the time domain. Second, to sort multiple signals more effectively, a feedback control algorithm based on dynamic programming is proposed. In the proposed method, the total sampling rate is decreased significantly, and multiple FH signals are separated rapidly without recovery based on the results of tracking and comparative power. Simulations show that the proposed method can track and sort FH signals efficiently and more practically than previous methods.

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Lagutkin, V. N. "ESTIMATION OF SHAPE PARAMETERS OF SPACE OBJECTS WITH USE OF WIDEBAND RADAR SIGNALS." Issues of radio electronics, no. 3 (March 20, 2018): 50–56. http://dx.doi.org/10.21778/2218-5453-2018-3-50-56.

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Theoretical questions of parametric descriptions of received broadband radar signals, in particular, signals with linear frequency modulation, and their processing for evaluation of form parameters of tracked space objects are considered. Analytical expressions for the received broadband radar signal at the output of the antenna system and its spectrum are obtained. Received expression take into account the spectral characteristics of polarization matrix of radio waves backscattering from space objects, as well as movement parameters of monitored objects. Address issues of physical diffraction theory methods for calculating spectral characteristics of radio waves backscattering from space objects. At considering of processing of received broadband signals from objects they are represented as the sum of component from individual «shining spots», then parameters of objects form are number of «shining spots», delays and complex amplitudes of their signals. It is shown that sufficient statistics at processing of received broadband signals to evaluate form parameters of space objects is the Fourier transform of product of complex conjugate of complex spectrum of envelope received signal and spectrum of complex envelope of sounding signal, modified in view of object movement. On the basis of computations of delay response functions for axisymmetric objects with circular kinked surfaces and sounding signals with linear frequency modulation the features of the task of evaluating the form parameters of space objects are shown and general requirements for parameters of sounding signals, for energy and a range of angles of observation are formulated.

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