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Добірка наукової літератури з теми "Radar techniques"

Автор: Grafiati
Опубліковано: 6 вересня 2023

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Статті в журналах з теми "Radar techniques"

1

Djordjevic, Ivan B. "On Entanglement-Assisted Multistatic Radar Techniques." Entropy 24, no. 7 (July 17, 2022): 990. http://dx.doi.org/10.3390/e24070990.

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Entanglement-based quantum sensors have much better sensitivity than corresponding classical sensors in a noisy and lossy regime. In our recent paper, we showed that the entanglement-assisted (EA) joint monostatic–bistatic quantum radar performs much better than conventional radars. Here, we propose an entanglement-assisted (EA) multistatic radar that significantly outperforms EA bistatic, coherent state-based quantum, and classical radars. The proposed EA multistatic radar employs multiple entangled transmitters performing transmit-side optical phase conjugation, multiple coherent detection-based receivers serving as EA detectors, and a joint detector.
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2

Isom, Bradley, Robert Palmer, Redmond Kelley, John Meier, David Bodine, Mark Yeary, Boon-Leng Cheong, Yan Zhang, Tian-You Yu, and Michael I. Biggerstaff. "The Atmospheric Imaging Radar: Simultaneous Volumetric Observations Using a Phased Array Weather Radar." Journal of Atmospheric and Oceanic Technology 30, no. 4 (April 1, 2013): 655–75. http://dx.doi.org/10.1175/jtech-d-12-00063.1.

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Abstract Mobile weather radars often utilize rapid-scan strategies when collecting observations of severe weather. Various techniques have been used to improve volume update times, including the use of agile and multibeam radars. Imaging radars, similar in some respects to phased arrays, steer the radar beam in software, thus requiring no physical motion. In contrast to phased arrays, imaging radars gather data for an entire volume simultaneously within the field of view (FOV) of the radar, which is defined by a broad transmit beam. As a result, imaging radars provide update rates significantly exceeding those of existing mobile radars, including phased arrays. The Advanced Radar Research Center (ARRC) at the University of Oklahoma (OU) is engaged in the design, construction, and testing of a mobile imaging weather radar system called the atmospheric imaging radar (AIR). Initial tests performed with the AIR demonstrate the benefits and versatility of utilizing beamforming techniques to achieve high spatial and temporal resolution. Specifically, point target analysis was performed using several digital beamforming techniques. Adaptive algorithms allow for improved resolution and clutter rejection when compared to traditional techniques. Additional experiments were conducted during two severe weather events in Oklahoma. Several digital beamforming methods were tested and analyzed, producing unique, simultaneous multibeam measurements using the AIR.
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3

Lakshmanan, Valliappa, Travis Smith, Kurt Hondl, Gregory J. Stumpf, and Arthur Witt. "A Real-Time, Three-Dimensional, Rapidly Updating, Heterogeneous Radar Merger Technique for Reflectivity, Velocity, and Derived Products." Weather and Forecasting 21, no. 5 (October 1, 2006): 802–23. http://dx.doi.org/10.1175/waf942.1.

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Abstract With the advent of real-time streaming data from various radar networks, including most Weather Surveillance Radars-1988 Doppler and several Terminal Doppler Weather Radars, it is now possible to combine data in real time to form 3D multiple-radar grids. Herein, a technique for taking the base radar data (reflectivity and radial velocity) and derived products from multiple radars and combining them in real time into a rapidly updating 3D merged grid is described. An estimate of that radar product combined from all the different radars can be extracted from the 3D grid at any time. This is accomplished through a formulation that accounts for the varying radar beam geometry with range, vertical gaps between radar scans, the lack of time synchronization between radars, storm movement, varying beam resolutions between different types of radars, beam blockage due to terrain, differing radar calibration, and inaccurate time stamps on radar data. Techniques for merging scalar products like reflectivity, and innovative, real-time techniques for combining velocity and velocity-derived products are demonstrated. Precomputation techniques that can be utilized to perform the merger in real time and derived products that can be computed from these three-dimensional merger grids are described.
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4

Trim, R. M. "Modern Radar Techniques." IEE Review 34, no. 2 (1988): 86. http://dx.doi.org/10.1049/ir:19880027.

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5

Baggaley, W. J. "RADAR Observations." Highlights of Astronomy 11, no. 2 (1998): 1015–16. http://dx.doi.org/10.1017/s1539299600019481.

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Radar techniques can be a powerful adjunct for studying meteor storms in general because of their sensitivity, capacity for continuous observations and their use of current techniques facilitating the handling of data. While some radars are limited to only a range-time presentation (and so adequate for a time-profile description of a storm event), some facilities have the additional capacity to determine directional information or orbital elements which are valuable in delineating the dynamics and spatial structure of stream meteoroids. The following outlines the application of radar techniques to meteor storm recording and summarizes current and planned facilities.
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6

Johnston, Paul E., James R. Jordan, Allen B. White, David A. Carter, David M. Costa, and Thomas E. Ayers. "The NOAA FM-CW Snow-Level Radar." Journal of Atmospheric and Oceanic Technology 34, no. 2 (February 2017): 249–67. http://dx.doi.org/10.1175/jtech-d-16-0063.1.

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AbstractA vertically pointing radar for monitoring radar brightband height (BBH) has been developed. This new radar utilizes frequency-modulated continuous wave (FM-CW) techniques to provide high-resolution data at a fraction of the cost of comparable pulsed radars. This S-band radar provides details of the vertical structure of precipitating clouds, with full Doppler information. Details of the radar design are presented along with observations from one storm. Results from a calibration using these storm data show the radar meets the design goals. Eleven of these radars have been deployed and provide BBH data in near–real time.
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7

Sekine, Matsuo. "Advances in Radar Techniques." IEEJ Transactions on Fundamentals and Materials 125, no. 1 (2005): 15–16. http://dx.doi.org/10.1541/ieejfms.125.15.

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8

Trim, R. M. "Advances in Radar Techniques." Electronics and Power 32, no. 1 (1986): 77. http://dx.doi.org/10.1049/ep.1986.0041.

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9

Stove, A. G. "Linear FMCW radar techniques." IEE Proceedings F Radar and Signal Processing 139, no. 5 (1992): 343. http://dx.doi.org/10.1049/ip-f-2.1992.0048.

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10

Suzuki, T. "Radar beamwidth reduction techniques." IEEE Aerospace and Electronic Systems Magazine 13, no. 5 (May 1998): 43–48. http://dx.doi.org/10.1109/62.673742.

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Дисертації з теми "Radar techniques"

1

Frankford, Mark Thomas. "EXPLORATION OF MIMO RADAR TECHNIQUES WITH A SOFTWARE-DEFINED RADAR." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1306526246.

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2

Ravichandran, Kulasegaram. "Radar imaging using two-dimensional synthetic aperture radar (SAR) techniques /." abstract and full text PDF (UNR users only), 2007. http://0-gateway.proquest.com.innopac.library.unr.edu/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1446797.

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Thesis (M.S.)--University of Nevada, Reno, 2007.
Library also has microfilm. Ann Arbor, Mich. : ProQuest Information and Learning Company, [2008]. 1 microfilm reel ; 35 mm. Online version available on the World Wide Web.
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3

Chen, Hung-Ruei. "FMCW radar jamming techniques and analysis." Thesis, Monterey California. Naval Postgraduate School, 2013. http://hdl.handle.net/10945/37597.

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Approved for public release; distribution is unlimited
Frequency-Modulated Continuous-Wave (FMCW) radar is a type of Low Probability of Intercept radar system that is being heavily investigated in the military. Not only is its transmission difficult to be detected by enemy intercept receivers, but FMCW radar has the inherent capability of increasing coherent signal power while suppressing noise power during its receive signal processing. This thesis investigates the jamming effectiveness of selected jamming waveforms by injecting the interfering signals into the Lab-Volt Radar Training System (LVRTS). The jamming effect is evaluated based on the change in beat frequency due to the jamming. Due to the hardware limitations of the LVRTS, a MATLAB simulation model is also constructed for advanced electronic attack testing. The MATLAB model emulates the FMCW emitter digital signal processing response to coherent and non-coherent jamming signals under an anti-ship capable missile scenario. The simulation output is the target range and range rate, whose error measures quantify the jamming effectiveness. From the standpoint of electronic warfare, related subjects such as electronic warfare support measures and FMCW electronic protection are also discussed.
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4

Sexton, G. "Ground probing radar signal processing techniques." Thesis, University of Newcastle Upon Tyne, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.354404.

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5

Panzner, Berthold [Verfasser]. "Synthetic Aperture Radar Focusing Techniques for Subsurface Radar Imaging / Berthold Panzner." München : Verlag Dr. Hut, 2013. http://d-nb.info/1031844910/34.

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6

Rossetti, Gaia. "Mathematical optimization techniques for cognitive radar networks." Thesis, Loughborough University, 2018. https://dspace.lboro.ac.uk/2134/33419.

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This thesis discusses mathematical optimization techniques for waveform design in cognitive radars. These techniques have been designed with an increasing level of sophistication, starting from a bistatic model (i.e. two transmitters and a single receiver) and ending with a cognitive network (i.e. multiple transmitting and multiple receiving radars). The environment under investigation always features strong signal-dependent clutter and noise. All algorithms are based on an iterative waveform-filter optimization. The waveform optimization is based on convex optimization techniques and the exploitation of initial radar waveforms characterized by desired auto and cross-correlation properties. Finally, robust optimization techniques are introduced to account for the assumptions made by cognitive radars on certain second order statistics such as the covariance matrix of the clutter. More specifically, initial optimization techniques were proposed for the case of bistatic radars. By maximizing the signal to interference and noise ratio (SINR) under certain constraints on the transmitted signals, it was possible to iteratively optimize both the orthogonal transmission waveforms and the receiver filter. Subsequently, the above work was extended to a convex optimization framework for a waveform design technique for bistatic radars where both radars transmit and receive to detect targets. The method exploited prior knowledge of the environment to maximize the accumulated target return signal power while keeping the disturbance power to unity at both radar receivers. The thesis further proposes convex optimization based waveform designs for multiple input multiple output (MIMO) based cognitive radars. All radars within the system are able to both transmit and receive signals for detecting targets. The proposed model investigated two complementary optimization techniques. The first one aims at optimizing the signal to interference and noise ratio (SINR) of a specific radar while keeping the SINR of the remaining radars at desired levels. The second approach optimizes the SINR of all radars using a max-min optimization criterion. To account for possible mismatches between actual parameters and estimated ones, this thesis includes robust optimization techniques. Initially, the multistatic, signal-dependent model was tested against existing worst-case and probabilistic methods. These methods appeared to be over conservative and generic for the considered signal-dependent clutter scenario. Therefore a new approach was derived where uncertainty was assumed directly on the radar cross-section and Doppler parameters of the clutters. Approximations based on Taylor series were invoked to make the optimization problem convex and {subsequently} determine robust waveforms with specific SINR outage constraints. Finally, this thesis introduces robust optimization techniques for through-the-wall radars. These are also cognitive but rely on different optimization techniques than the ones previously discussed. By noticing the similarities between the minimum variance distortionless response (MVDR) problem and the matched-illumination one, this thesis introduces robust optimization techniques that consider uncertainty on environment-related parameters. Various performance analyses demonstrate the effectiveness of all the above algorithms in providing a significant increase in SINR in an environment affected by very strong clutter and noise.
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Nanding, N. "Hydrological applications of radar-raingauge rainfall merging techniques." Thesis, University of Bristol, 2016. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.715769.

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8

French, A. "Target recognition techniques for multifunction phased array radar." Thesis, University College London (University of London), 2010. http://discovery.ucl.ac.uk/19675/.

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This thesis, submitted for the degree of Doctor of Philosophy at University College London, is a discussion and analysis of combined stepped-frequency and pulse-Doppler target recognition methods which enable a multifunction phased array radar designed for automatic surveillance and multi-target tracking to offer a Non Cooperative Target Recognition (NCTR) capability. The primary challenge is to investigate the feasibility of NCTR via the use of high range resolution profiles. Given stepped frequency waveforms effectively trade time for enhanced bandwidth, and thus resolution, attention is paid to the design of a compromise between resolution and dwell time. A secondary challenge is to investigate the additional benefits to overall target classification when the number of coherent pulses within an NCTR wavefrom is expanded to enable the extraction of spectral features which can help to differentiate particular classes of target. As with increased range resolution, the price for this extra information is a further increase in dwell time. The response to the primary and secondary challenges described above has involved the development of a number of novel techniques, which are summarized below: • Design and execution of a series of experiments to further the understanding of multifunction phased array Radar NCTR techniques • Development of a ‘Hybrid’ stepped frequency technique which enables a significant extension of range profiles without the proportional trade in resolution as experienced with ‘Classical’ techniques • Development of an ‘end to end’ NCTR processing and visualization pipeline • Use of ‘Doppler fraction’ spectral features to enable aircraft target classification via propulsion mechanism. Combination of Doppler fraction and physical length features to enable broad aircraft type classification. • Optimization of NCTR method classification performance as a function of feature and waveform parameters. • Generic waveform design tools to enable delivery of time costly NCTR waveforms within operational constraints. The thesis is largely based upon an analysis of experimental results obtained using the multifunction phased array radar MESAR2, based at BAE Systems on the Isle of Wight. The NCTR mode of MESAR2 consists of the transmission and reception of successive multi-pulse coherent bursts upon each target being tracked. Each burst is stepped in frequency resulting in an overall bandwidth sufficient to provide sub-metre range resolution. A sequence of experiments, (static trials, moving point target trials and full aircraft trials) are described and an analysis of the robustness of target length and Doppler spectra feature measurements from NCTR mode data recordings is presented. A recorded data archive of 1498 NCTR looks upon 17 different trials aircraft using five different varieties of stepped frequency waveform is used to determine classification performance as a function of various signal processing parameters and extent (numbers of pulses) of the data used. From analysis of the trials data, recommendations are made with regards to the design of an NCTR mode for an operational system that uses stepped frequency techniques by design choice.
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9

Pennington, Jason R. "Radar Signal Characteristic Extraction with FFT-Based Techniques." Miami University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=miami1306201663.

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Lellouch, Gabriel. "Waveform design and processing techniques in OFDM radar." Doctoral thesis, University of Cape Town, 2015. http://hdl.handle.net/11427/16678.

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Includes bibliographical references
With the advent of powerful digital hardware, software defined radio and radar have become an active area of research and development. This in turn has given rise to many new research directions in the radar community, which were previously not comprehensible. One such direction is the recently investigated OFDM radar, which uses OFDM waveforms instead of the classic linear frequency mod- ulated waveforms. Being a wideband signal, the OFDM symbol offers spectral efficiency along with improved range resolution, two enticing characteristics for radar. Historically a communication signal, OFDM is a special form of multi- carrier modulation, where a single data stream is transmitted over a number of lower rate carriers. The information is conveyed via sets of complex phase codes modulating the phase of the carriers. At the receiver, a demodulation stage estimates the transmitted phase codes and the information in the form of binary words is finally retrieved. In radar, the primary goal is to detect the presence of targets and possibly estimate some of their features through measurable quantities, e.g. range, Doppler, etc. Yet, being a young waveform in radar, more understanding is required to turn it into a standard radar waveform. Our goal, with this thesis, is to mature our comprehension of OFDM for radar and contribute to the realm of OFDM radar. First, we develop two processing alternatives for the case of a train of wideband OFDM pulses. In this, our first so-called time domain solution consists in applying a matched filter to compress the received echoes in the fast time before applying a fast Fourier transform in the slow time to form the range Doppler image. We motivate this approach after demonstrating that short OFDM pulses are Doppler tolerant. The merit of this approach is to conserve existing radar architectures while operating OFDM waveforms. The second so-called frequency domain solution that we propose is inspired from communication engineering research since the received echoes are tumbled in the frequency domain. After several manipulations, the range Doppler image is formed. We explain how this approach allows to retrieve an estimate of the unambiguous radial velocity, and propose two methods for that. The first method requires the use of identical sequence (IS) for the phase codes and is, as such, binding, while the other method works irrespective of the phase codes. Like the previous technique, this processing solution accommodates high Doppler frequencies and the degradation in the range Doppler image is negligible provided that the spacing between consecutive subcarriers is sufficient. Unfortunately, it suffers from the issue of intersymbol interference (ISI). After observing that both solutions provide the same processing gain, we clarify the constraints that shall apply to the OFDM signals in either of these solutions. In the first solution, special care has been employed to design OFDM pulses with low peak-to-mean power ratio (PMEPR) and low sidelobe level in the autocorrelation function. In the second solution, on the other hand, only the constraint of low PMEPR applies since the sidelobes of the scatterer characteristic function in the range Doppler image are Fourier based. Then, we develop a waveform-processing concept for OFDM based stepped frequency waveforms. This approach is intended for high resolution radar with improved low probability of detection (LPD) characteristics, as we propose to employ a frequency hopping scheme from pulse to pulse other than the conventional linear one. In the same way we treated our second alternative earlier, we derive our high range resolution processing in matrix terms and assess the degradation caused by high Doppler on the range profile. We propose using a bank of range migration filters to retrieve the radial velocity of the scatterer and realise that the issue of classical ambiguity in Doppler can be alleviated provided that the relative bandwidth, i.e. the total bandwidth covered by the train of pulses divided by the carrier frequency, is chosen carefully. After discussing a deterministic artefact caused by frequency hopping and the means to reduce it at the waveform design or processing level, we discuss the benefit offered by our concept in comparison to other standard wideband methods and emphasize on its LPD characteristics at the waveform and pulse level. In our subsequent analysis, we investigate genetic algorithm (GA) based techniques to finetune OFDM pulses in terms of radar requirements viz., low PMEPR only or low PMEPR and low sidelobe level together, as evoked earlier. To motivate the use of genetic algorithms, we establish that existing techniques are not exible in terms of the OFDM structure (the assumption that all carriers are present is always made). Besides, the use of advanced objective functions suited to particular configurations (e.g. low sidelobe level in proximity of the main autocorrelation peak) as well as the combination of multiple objective functions can be done elegantly with GA based techniques. To justify that solely phase codes are used for our optimisation(s), we stress that the weights applied to the carriers composing the OFDM signal can be spared to cope with other radar related challenges and we give an example with a case of enhanced detection. Next, we develop a technique where we exploit the instantaneous wideband trans- mission to characterise the type of the canonical scatterers that compose a target. Our idea is based on the well-established results from the geometrical theory of diffraction (GTD), where the scattered energy varies with frequency. We present the problem related to ISI, stress the need to design the transmitted pulse so as to reduce this risk and suggest having prior knowledge over the scatterers relative positions. Subsequently, we develop a performance analysis to assess the behaviour of our technique in the presence of additive white Gaussian noise (AWGN). Then, we demonstrate the merit of integrating over several pulses to improve the characterisation rate of the scatterers. Because the scattering centres of a target resonate variably at different frequencies, frequency diversity is another enticing property which can be used to enhance the sensing performance. Here, we exploit this element of diversity to improve the classification function. We develop a technique where the classification takes place at the waveform design when few targets are present. In our case study, we have three simple targets. Each is composed of perfectly electrically conducting spheres for which we have exact models of the scattered field. We develop a GA based search to find optimal OFDM symbols that best discriminate one target against any other. Thereafter, the OFDM pulse used for probing the target in the scene is constructed by stacking the resulting symbols in time. After discussing the problem of finding the best frequency window to sense the target, we develop a performance analysis where our figure of merit is the overall probability of correct classification. Again, we prove the merit of integrating over several pulses to reach classification rates above 95%. In turn, this study opens onto new challenges in the realm of OFDM radar. We leave for future research the demonstration of the practical applicability of our novel concepts and mention manifold research axes, viz., a signal processing axis that would include methods to cope with inter symbol interference, range migration issues, methods to raise the ambiguity in Doppler when several echoes from distinct scatterers overlap in the case of our frequency domain processing solutions; an algorithmic axis that would concern the heuristic techniques employed in the design of our OFDM pulses. We foresee that further tuning might help speeding up our GA based algorithms and we expect that constrained multi- objective optimisation GA (MOO-GA) based techniques shall benefit the OFDM pulse design problem in radar. A system design axis that would account for the hardware components' behaviours, when possible, directly at the waveform design stage and would include implementation of the OFDM radar system.
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Книги з теми "Radar techniques"

1

B, Scanlan M. J., ed. Modern radar techniques. London: Collins, 1987.

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2

1944-, Clarke J., and Institution of Electrical Engineers, eds. Advances in radar techniques. London, UK: P. Peregrinus on behalf of the Institution of Electrical Engineers, 1985.

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3

Engineers, Institution of Electrical, ed. Radar techniques using array antennas. London: Institution of Electrical Engineers, 2001.

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4

Clarke, J. Studies of primary radar techniques. Birmingham: University of Birmingham, 1987.

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5

C, Currie Nicholas, ed. Radar reflectivity measurement: Techniques & applications. Norwood, MA: Artech House, 1989.

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6

Radar techniques using array antennas. 2nd ed. Stevenage, Herts, United Kingdom: The Institution of Engineering and Technology, 2013.

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7

Engineers, Institution of Electrical, and Knovel (Firm), eds. Radar techniques using array antennas. London: Institution of Electrical Engineers, 2001.

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8

Gaspare, Galati, and Institution of Electrical Engineers, eds. Advanced radar techniques and systems. London: Peter Peregrinus on behalf of the Institution of Electrical Engineers, 1993.

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9

1927-, Barton David Knox, ed. Monopulse principles and techniques. 2nd ed. Boston: Artech House, 2011.

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10

Nebabin, V. G. Methods and techniques of radar recognition. Boston: Artech House, 1995.

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Частини книг з теми "Radar techniques"

1

Dahlberg, L. "Advanced Radar Techniques." In International Weather Radar Networking, 265–70. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2404-1_41.

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2

Vinoy, K. J., and R. M. Jha. "Absorber Characterization Techniques." In Radar Absorbing Materials, 143–58. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-0473-9_5.

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3

Tautz, Jürgen. "RoboBees and Radar Techniques." In Communication Between Honeybees, 95–109. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99484-6_9.

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4

Mahafza, Bassem R., and Robert J. Balla. "Radar Electronic Warfare Techniques." In Handbook of Radar Signal Analysis, 159–82. Boca Raton: Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9781315161402-5.

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Arakelian, A. K. "Radar-Radiometer Correlative System." In Microwave Physics and Techniques, 419–24. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-011-5540-3_43.

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Wu, Jianqi. "Metric Wave Antenna Techniques." In Advanced Metric Wave Radar, 131–90. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-10-7647-3_6.

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Holm, William A. "Polarimetric Fundamentals and Techniques." In Principles of Modern Radar, 621–45. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4613-1971-9_20.

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Wohlleben, R., H. Mattes, and Th Krichbaum. "Interferometric Techniques." In Interferometry in Radioastronomy and Radar Techniques, 25–33. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3702-7_6.

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9

Reedy, Edward K. "Radar ECCM Considerations and Techniques." In Principles of Modern Radar, 681–99. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4613-1971-9_22.

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10

Randeu, Walter L. "New Weather Radar Techniques: Ready for Operational Use?" In Weather Radar Networking, 256–77. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-0551-1_30.

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Тези доповідей конференцій з теми "Radar techniques"

1

"Radar Techniques." In 2019 14th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS). IEEE, 2019. http://dx.doi.org/10.1109/telsiks46999.2019.9002358.

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2

Turley, M. D. E. "Hybrid CFAR techniques for HF radar." In Radar Systems (RADAR 97). IEE, 1997. http://dx.doi.org/10.1049/cp:19971627.

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3

Rabideau, Daniel J. "Nonadaptive MIMO radar techniques for reducing clutter." In 2008 IEEE Radar Conference (RADAR). IEEE, 2008. http://dx.doi.org/10.1109/radar.2008.4720929.

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4

Moreira, Alberto, Gerhard Krieger, Hauke Fiedler, Irena Hajnsek, Marwan Younis, Manfred Zink, and Marian Werner. "Advanced interferometric SAR techniques with TanDEM-X." In 2008 IEEE Radar Conference (RADAR). IEEE, 2008. http://dx.doi.org/10.1109/radar.2008.4720737.

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5

Vouras, Peter, and Brian Freburger. "Application of adaptive beamforming techniques to HF radar." In 2008 IEEE Radar Conference (RADAR). IEEE, 2008. http://dx.doi.org/10.1109/radar.2008.4720868.

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6

Godrich, Hana, Alexander M. Haimovich, and Rick S. Blum. "Target localization techniques and tools for MIMO radar." In 2008 IEEE Radar Conference (RADAR). IEEE, 2008. http://dx.doi.org/10.1109/radar.2008.4720924.

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Rangaswamy, Muralidhar. "Modern CFAR techniques in heterogeneous radar clutter scenarios." In 2008 IEEE Radar Conference (RADAR). IEEE, 2008. http://dx.doi.org/10.1109/radar.2008.4721155.

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Townsend, James D., Michael A. Saville, Seng M. Hongy, and Richard K. Martin. "Simulator for Velocity Gate Pull-Off electronic countermeasure techniques." In 2008 IEEE Radar Conference (RADAR). IEEE, 2008. http://dx.doi.org/10.1109/radar.2008.4720888.

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Newcombe, Chris, and Alessio Balleri. "Simulations of Waveform Diversity for Doppler Beam Sharpening techniques." In 2014 International Radar Conference (Radar). IEEE, 2014. http://dx.doi.org/10.1109/radar.2014.7060448.

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Thomson, J. Alex L. "Wind Shear Detection: Pattern Recognition Techniques." In Coherent Laser Radar. Washington, D.C.: Optica Publishing Group, 1991. http://dx.doi.org/10.1364/clr.1991.fb3.

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Анотація:
Laser radar SNR levels in the lower clear atmosphere are high enough to allow consideration of a multiple-watt on-board coherent laser radar, operating in a 3D imaging mode to sense wind shear patterns in the vicinity of airport terminal glide slopes. Any such Doppler sensor must contend with the fact that detection is limited to velocity components parallel to the viewing direction. Hazardous lateral velocities cannot be seen directly and must be inferred by some type of tracking analysis or model recognition procedure. In this paper an analysis is presented which discusses the use of statistical pattern recognition techniques to sense recognizable and recurrent 3D patterns of line-of-sight velocity. The concept is based on the idea that a historical database can be constructed by a combination of measurement, modeling, and simulation that can be used for assessing hazardous flight situations ahead. A Principle Component Analysis of such a database generates a basis set of observed 'eigen features' against which new observations can be compared in a real-time recognition of hazardous patterns. Numerical simulations are used to demonstrate the concepts for a candidate infrared coherent laser radar detection system flying through various combinations of low altitude turbulence, downbursts, and vortex wake environments.
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Звіти організацій з теми "Radar techniques"

1

Morse, Dewey J. Advanced Radar Testing Techniques II. Fort Belvoir, VA: Defense Technical Information Center, September 1988. http://dx.doi.org/10.21236/ada205214.

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Haug, B. T. Microwave Radar Techniques Applied to Gun Accuracy Measurements. Fort Belvoir, VA: Defense Technical Information Center, April 1987. http://dx.doi.org/10.21236/ada185745.

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3

Lee, Roger. Radar Signal/Image Processing Enhancements using Alpha-Stable Techniques. Fort Belvoir, VA: Defense Technical Information Center, June 1999. http://dx.doi.org/10.21236/ada367774.

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4

Chan, B. L., J. D. Young, and R. C. Rudduck. Wideband Electromagnetic Scattering Program. Fourier-Based Radar Imaging Techniques. Fort Belvoir, VA: Defense Technical Information Center, September 1993. http://dx.doi.org/10.21236/ada282540.

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Knittle, C. D., N. E. Doren, and C. V. Jakowatz. A comparison of spotlight synthetic aperture radar image formation techniques. Office of Scientific and Technical Information (OSTI), October 1996. http://dx.doi.org/10.2172/399697.

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Foster, Thomas. Application of Pattern Recognition Techniques for Early Warning Radar (EWR) Discrimination. Fort Belvoir, VA: Defense Technical Information Center, January 1995. http://dx.doi.org/10.21236/ada298895.

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Arellano, J., J. M. Hernandez, and J. Brase. Impulse radar imaging for dispersive concrete using inverse adaptive filtering techniques. Office of Scientific and Technical Information (OSTI), May 1993. http://dx.doi.org/10.2172/10117045.

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Plotz, Gary, and Serena Dibble. Applying Model Abstraction Techniques to the Advanced Low Altitude Radar Model (ALARM). Fort Belvoir, VA: Defense Technical Information Center, October 2002. http://dx.doi.org/10.21236/ada408085.

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Ling, Hao. Radar Image Enhancement, Feature Extraction and Motion Compensation Using Joint Time-Frequency Techniques. Fort Belvoir, VA: Defense Technical Information Center, October 2001. http://dx.doi.org/10.21236/ada390630.

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Robinson, S. D., B. J. Moorman, A. S. Judge, and S. R. Dallimore. The characterization of massive ground ice at Yaya Lake, Northwest Territories using radar stratigraphy techniques. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1993. http://dx.doi.org/10.4095/134219.

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