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Journal articles on the topic 'Matched filter'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Ivanov Spassov, Sevdalin. "CHIRP FILTER JAMMING IMMUNITY RESEARCH." International Journal of Advanced Research 9, no. 01 (2021): 966–71. http://dx.doi.org/10.21474/ijar01/12377.

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The pulse compression technique uses a matched filter to extract an echo signal in the radars receiver. A model of a matched filter for a chirp signal was synthesized using the Simulink Tool of the MATLAB software. Pulse jamming and chirp jamming signals were feed to the input of the matched filter. The output signals were measured. The matched filters degree of suppression of these jamming signals was assessed. Conclusions were made about the jamming immunity of a radar operating with a Chirp matched filter.

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2

Tabatabaei, Nima. "Matched-Filter Thermography." Applied Sciences 8, no. 4 (2018): 581. http://dx.doi.org/10.3390/app8040581.

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3

Javidi, Bahram. "Generalization of the linear matched filter concept to nonlinear matched filters." Applied Optics 29, no. 8 (1990): 1215. http://dx.doi.org/10.1364/ao.29.001215.

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4

Ivanov Spassov, Sevdalin. "JAMMINGIMMUNITY RESEARCH OF A RADAR OPERATING WITH CHIRP SIGNAL." International Journal of Advanced Research 8, no. 12 (2020): 731–37. http://dx.doi.org/10.21474/ijar01/12204.

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Pulse compressed signal enhances the jamming immunity of a radar operating with such a signal. The matched filter is one of the most important elements in the pulse compression technique. A model of a matched filter for a chirp signal was synthesized using the Simulink tool of the Matlab software. Interference signals were feed to the input of the matched filter and output signals were measured. The matched filters degree of suppression of these interference signals was assessed. Conclusions were made about the jamming immunity of radar operating with chirp signal.

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5

Ivanov Spassov, Sevdalin. "JAMMINGIMMUNITY RESEARCH OF A RADAR OPERATING WITH CHIRP SIGNAL." International Journal of Advanced Research 8, no. 12 (2020): 731–37. http://dx.doi.org/10.21474/ijar01/12204.

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Pulse compressed signal enhances the jamming immunity of a radar operating with such a signal. The matched filter is one of the most important elements in the pulse compression technique. A model of a matched filter for a chirp signal was synthesized using the Simulink tool of the Matlab software. Interference signals were feed to the input of the matched filter and output signals were measured. The matched filters degree of suppression of these interference signals was assessed. Conclusions were made about the jamming immunity of radar operating with chirp signal.

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6

Bucker, Homer. "From matched filter to matched field tracking." Journal of the Acoustical Society of America 110, no. 5 (2001): 2690. http://dx.doi.org/10.1121/1.4777243.

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7

Ivanov Spassov, Sevdalin. "JAMMINGIMMUNITYRESEARCH OF A RADAR OPERATING WITH BARKER CODED PHASE MODULATED SIGNAL." International Journal of Advanced Research 8, no. 12 (2020): 738–43. http://dx.doi.org/10.21474/ijar01/12205.

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The matched filter is one of the most important elements in the pulse compression technique. Pulse compressed signal enhances the interference immunity of a radar operating with such a signal. A model of the matched filter for a Barker coded phase modulated signal was synthesized using the Simulink tool of the Matlab software. Interference signals were feed to the input of the matched filter and output signals were measured. The matched filters degree of suppression of these interference signals was assessed. Conclusions were made about the jamming immunity of radars operating with Barker code

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8

Ivanov Spassov, Sevdalin. "SIMULATION MODELING OF THE INTERFERENCE IMMUNITY OF THE RADARS OPERATING WITH COMPRESSED SIGNAL." International Journal of Advanced Research 8, no. 12 (2020): 799–804. http://dx.doi.org/10.21474/ijar01/12216.

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The immunity to the interference of a radar operating with a pulse compression signal is an important feature. The matched filter is one of the elements of the radar, providing resistance to interference. A model of a matched filter to chirp signal has synthesized using the Simulink tool of the Matlab software. Two types of interference signals have fed to the matched filter input, and the output signals are measured. The matched filters degree of suppression against these two interference signals has been assessed. Inferences about the interference immunity of the radars operating with compre

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9

Ivanov Spassov, Sevdalin. "JAMMINGIMMUNITYRESEARCH OF A RADAR OPERATING WITH BARKER CODED PHASE MODULATED SIGNAL." International Journal of Advanced Research 8, no. 12 (2020): 738–43. http://dx.doi.org/10.21474/ijar01/12205.

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The matched filter is one of the most important elements in the pulse compression technique. Pulse compressed signal enhances the interference immunity of a radar operating with such a signal. A model of the matched filter for a Barker coded phase modulated signal was synthesized using the Simulink tool of the Matlab software. Interference signals were feed to the input of the matched filter and output signals were measured. The matched filters degree of suppression of these interference signals was assessed. Conclusions were made about the jamming immunity of radars operating with Barker code

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10

Roberge, Danny, and Yunlong Sheng. "Optical wavelet matched filter." Applied Optics 33, no. 23 (1994): 5287. http://dx.doi.org/10.1364/ao.33.005287.

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11

Camin, H. John. "Environmentally corrected matched filter." Journal of the Acoustical Society of America 137, no. 4 (2015): 2437. http://dx.doi.org/10.1121/1.4920899.

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12

Baykal, B. "Blind Matched Filter Receiver." IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications 51, no. 2 (2004): 379–90. http://dx.doi.org/10.1109/tcsi.2003.820238.

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13

Horner, Joseph L., and Mary A. Flavin. "Average amplitude matched filter." Optical Engineering 29, no. 1 (1990): 31. http://dx.doi.org/10.1117/12.55568.

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14

Monakov, Andrei. "The Mellin Matched Filter." IEEE Journal of Selected Topics in Signal Processing 9, no. 8 (2015): 1451–59. http://dx.doi.org/10.1109/jstsp.2015.2465309.

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15

Gerding, M., and B. Schiek. "Realization of Broadband Matched Filter Structures Based on Dual Networks." Advances in Radio Science 3 (May 12, 2005): 69–73. http://dx.doi.org/10.5194/ars-3-69-2005.

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Abstract. This paper deals with the basic electrical properties of dual networks and with their application in broadband matched filter structures. Starting with the main characteristics and different realization methods of dual networks, a filter structure is presented, which is based on a combination of dual networks and which provides a broadband matched input and two decoupled output ports. This filter synthesis focuses on the design of high pass filters, which are suitable to be used as differentiating stages in electrical pulse generators as a part of the so-called pulse shaping network.

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16

Naydenov, Borislav Georgiev, Antim Hristov Yordanov, and Lyubomir Petrov Kamburov. "Mathematical model of parametrically controlled matched filters." ANNUAL JOURNAL OF TECHNICAL UNIVERSITY OF VARNA, BULGARIA 1, no. 1 (2017): 27–31. http://dx.doi.org/10.29114/ajtuv.vol1.iss1.60.

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A one model of parametrically controlled coherent filters is described and analyzed, applied also in radar systems and mobile communication systems to improve noise resistance. Application of the Nyquist-Shannon theorem in the frequency domain to obtain a set of frequency filters with variable parameters. The conversion of the signal at the output of the parameter filter using the auto correlation feature is shown when a normal white noise occurs.

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17

Cappelli, M., G. Del Castello, and M. Vignati. "Estimation of waveform deformation with the matched filter." Journal of Instrumentation 19, no. 06 (2024): P06034. http://dx.doi.org/10.1088/1748-0221/19/06/p06034.

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Abstract In many particle physics experiments the data processing is based on the analysis of the digitized waveforms provided by the detector. While the waveform amplitude is usually correlated to the event energy, the shape may carry useful information for event discrimination. Thanks to the high signal to noise ratio they provide, matched filters are often applied. Their original design is however intended for the estimation of the waveform amplitude only. In this work we introduce an analytical extension of the original matched filter for the estimation of a possible shape deformation with

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18

Dash, Sonali, Sahil Verma, Kavita, et al. "Guidance Image-Based Enhanced Matched Filter with Modified Thresholding for Blood Vessel Extraction." Symmetry 14, no. 2 (2022): 194. http://dx.doi.org/10.3390/sym14020194.

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Fundus images have been established as an important factor in analyzing and recognizing many cardiovascular and ophthalmological diseases. Consequently, precise segmentation of blood using computer vision is vital in the recognition of ailments. Although clinicians have adopted computer-aided diagnostics (CAD) in day-to-day diagnosis, it is still quite difficult to conduct fully automated analysis based exclusively on information contained in fundus images. In fundus image applications, one of the methods for conducting an automatic analysis is to ascertain symmetry/asymmetry details from corr

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19

Chamberlain, Calum John, John Townend, and Matthew C. Gerstenberger. "RT-EQcorrscan: Near-Real-Time Matched-Filtering for Rapid Development of Dense Earthquake Catalogs." Seismological Research Letters 91, no. 6 (2020): 3574–84. http://dx.doi.org/10.1785/0220200171.

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Abstract Matched-filtering (template-matching) is an effective method for detecting clustered seismicity such as aftershocks, low-frequency earthquakes, repeating earthquakes, and tectonic and volcanic swarms. Several groups have developed efficient codes implementing matched-filter methods and demonstrated that earthquake catalogs can be substantially expanded using these methods. Here, we present a near-real-time implementation of the matched-filter method, designed to be used in response to ongoing seismicity. Its near-real-time capabilities enable dense catalogs of seismicity to be constru

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20

Corron, Ned J., Jonathan N. Blakely, and Mark T. Stahl. "A matched filter for chaos." Chaos: An Interdisciplinary Journal of Nonlinear Science 20, no. 2 (2010): 023123. http://dx.doi.org/10.1063/1.3432557.

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21

Marks, Robert J., James A. Ritcey, Les E. Atlas, and Kwan F. Cheung. "Composite matched filter output partitioning." Applied Optics 26, no. 11 (1987): 2274. http://dx.doi.org/10.1364/ao.26.002274.

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22

Chen, Zhu, Hongbin Li, and Muralidhar Rangaswamy. "Conjugate gradient adaptive matched filter." IEEE Transactions on Aerospace and Electronic Systems 51, no. 1 (2015): 178–91. http://dx.doi.org/10.1109/taes.2014.130419.

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23

De Maio, Antonio, and Giuseppe Ricci. "A polarimetric adaptive matched filter." Signal Processing 81, no. 12 (2001): 2583–89. http://dx.doi.org/10.1016/s0165-1684(01)00150-5.

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24

Sudha, Hanumanthu, and Kumar P.Rajesh. "Cancellation of Matched Filter Sidelobes for LFM Radar using Regularized Orthogonal Matching Pursuit." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 4 (2020): 1679–82. https://doi.org/10.35940/ijeat.D8762.049420.

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Major disadvantage of matched filter is with sidelobes as they might cause false alarms or may mask weak targets of radar echo. In applications like Urban sensing, Through the wall radar, Non destructive testing etc small objects of interest play crucial role which might be masked by sidelobes of matched filter or sometimes sidelobes may be mistreated as objects of interest that lead to false alarms. Many solutions have been proposed in the literature to suppress these sidelobe levels to some extent but not completely cancelled. In this paper, a new approach is utilized to completely cancel th

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25

Elgamel, Sherif A. "Matched Filter Implementation, Complexity, and Gain in Fractional Fourier Domain." Advances in Military Technology 16, no. 2 (2021): 245–353. http://dx.doi.org/10.3849/aimt.01513.

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The radar matched filter is implemented in fractional Fourier domain (FrFD) and the required processing steps to perform the radar matched filter in FrFD are demonstrated. The complexity of the FrFD matched filter over the normal frequency transform matched filter is also investigated. The performance enhancements for using the matched filter in the FrFD are presented and the enhancement in the signal to noise ratio (SNR) output at different target SNRs are also described.

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26

Xiangyang, Wen, and Wei Yixiang. "Constrained digital matched filter method for optimum filter synthesis." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 560, no. 2 (2006): 346–51. http://dx.doi.org/10.1016/j.nima.2005.12.199.

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27

Lu, Lu, and Meiguo Gao. "A Truncated Matched Filter Method for Interrupted Sampling Repeater Jamming Suppression Based on Jamming Reconstruction." Remote Sensing 14, no. 1 (2021): 97. http://dx.doi.org/10.3390/rs14010097.

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Interrupted sampling repeater jamming (ISRJ) is becoming more widely used in electronic countermeasures (ECM), thanks to the development of digital radio frequency memory (DRFM). Radar electronic counter-countermeasure (ECCM) is much more difficult when the jamming signal is coherent with the emitted signal. Due to the intermittent transmission feature of ISRJ, the energy accumulation of jamming on the matched filter shows a ‘ladder’ characteristic, whereas the real target signal is continuous. As a consequence, the time delay and distribution of the jamming slice can be obtained based on sear

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28

Werner, Frank T., Benjamin K. Rhea, Aubrey N. Beal, et al. "A Matched Filter Developed for Chaotic Waveforms." Additional Conferences (Device Packaging, HiTEC, HiTEN, and CICMT) 2016, DPC (2016): 001613–31. http://dx.doi.org/10.4071/2016dpc-wp35.

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A matched filter developed for use in chaos-based communications systems is presented. A matched filter is the optimum filter for maximizing the signal-to-noise ratio of a received signal in the presence of additive Gaussian white noise (AGWN). Chaos-based communications systems encode information into a chaotic waveform using arbitrary small perturbations to control the trajectory of the chaotic oscillator. Chaotic waveforms are deterministic, are sensitive to initial conditions, have aperiodic long-term behavior, have a spread frequency spectrum, and are theoretically immune to interference.

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29

ROUSSEAU, DAVID, JULIO ROJAS VARELA, FABING DUAN, and FRANÇOIS CHAPEAU-BLONDEAU. "EVALUATION OF A NONLINEAR BISTABLE FILTER FOR BINARY SIGNAL DETECTION." International Journal of Bifurcation and Chaos 15, no. 02 (2005): 667–79. http://dx.doi.org/10.1142/s0218127405012193.

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We consider the nonlinear bistable dynamic system that is the archetypal system giving way to the phenomenon of stochastic resonance for noise-improved signal processing. Independently of a strict stochastic resonance effect, we use this bistable system as a nonlinear filter for a detection task on a binary signal. We expose a methodology to tune the nonlinear filter at its best performance that minimizes its probability of detection error. The optimally tuned nonlinear filter is then compared to the ideal matched filter, which is the optimal filter for the detection with Gaussian noise. We sh

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30

Murdika, Umi, and Yessi Mulyani. "Perancangan Dan Simulasi Filter IIR Menggunakan Graphical User Interface (GUI)." Electrician 11, no. 3 (2018): 114–18. http://dx.doi.org/10.23960/elc.v11n3.2060.

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Intisari--- Pada makalah ini telah disajikan metode mensimulasikan filter IIR menggunakan GUI. Metode ini tidak hanya tergantung pada kode matlab, tetapi juga menampilkan control penggunaan yang dibangun berdasarkan GUI, sehingga semua operasi pemfilteran dapat diselesaikan oleh GUI. Makalah ini menggunakan metode Pole-zero placement, Impulse invariant, Matched z-transform , dan Bilinear z-transfor dalam merealisasikan filter IIR dan untuk sebagai contoh untuk merancang filter low-pass, high-pass and band-pass. Dari simulasi menunjukkan bahwa perancangan berdasrkan GUI ini sangatlah nyaman, ce

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31

Brito, Antonio, Pedro Sebastiao, and Fernando J. Velez. "Hybrid Matched Filter Detection Spectrum Sensing." IEEE Access 9 (2021): 165504–16. http://dx.doi.org/10.1109/access.2021.3134796.

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32

Lin, Jie, Chaoshu Jiang, Jiahua Jiang, and Jiawen Kang. "Conjugate gradient persymmetric adaptive matched filter." Digital Signal Processing 123 (April 2022): 103395. http://dx.doi.org/10.1016/j.dsp.2022.103395.

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33

Cohen, Seth D., and Daniel J. Gauthier. "A pseudo-matched filter for chaos." Chaos: An Interdisciplinary Journal of Nonlinear Science 22, no. 3 (2012): 033148. http://dx.doi.org/10.1063/1.4754437.

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34

Robey, F. C., D. R. Fuhrmann, E. J. Kelly, and R. Nitzberg. "A CFAR adaptive matched filter detector." IEEE Transactions on Aerospace and Electronic Systems 28, no. 1 (1992): 208–16. http://dx.doi.org/10.1109/7.135446.

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35

Yujun, Feng, Jianping Ding, Zhou Jin, and Gao Wenqi. "Two-channel self-focusing matched filter." Journal of Modern Optics 48, no. 11 (2001): 1701–5. http://dx.doi.org/10.1080/09500340116937.

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36

Gural, Peter S., Jeffrey A. Larsen, and Arianna E. Gleason. "Matched Filter Processing for Asteroid Detection." Astronomical Journal 130, no. 4 (2005): 1951–60. http://dx.doi.org/10.1086/444415.

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37

Gao, Fei, Xiaohua Feng, Ruochong Zhang, Siyu Liu, and Yuanjin Zheng. "Adaptive Photoacoustic Sensing Using Matched Filter." IEEE Sensors Letters 1, no. 5 (2017): 1–3. http://dx.doi.org/10.1109/lsens.2017.2738012.

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38

Mu, Guo-Guang. "Computer-generated amplitude-compensated matched filter." Optical Engineering 37, no. 1 (1998): 99. http://dx.doi.org/10.1117/1.601901.

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39

Jacobson, L. A. "A matched filter data smoothing algorithm." IEEE Transactions on Nuclear Science 36, no. 1 (1989): 1227–31. http://dx.doi.org/10.1109/23.34637.

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40

Jiang, Chaoshu, Hongbin Li, and Muralidhar Rangaswamy. "On the Conjugate Gradient Matched Filter." IEEE Transactions on Signal Processing 60, no. 5 (2012): 2660–66. http://dx.doi.org/10.1109/tsp.2012.2187200.

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41

Kasper, Lars, Maximilian Haeberlin, Benjamin E. Dietrich, et al. "Matched-filter acquisition for BOLD fMRI." NeuroImage 100 (October 2014): 145–60. http://dx.doi.org/10.1016/j.neuroimage.2014.05.024.

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42

Javidi, Bahram. "Nonlinear matched filter based optical correlation." Applied Optics 28, no. 21 (1989): 4518. http://dx.doi.org/10.1364/ao.28.004518.

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43

Kostinski, Alexander B., Brian D. James, and Wolfgang-M. Boerner. "Polarimetric matched filter for coherent imaging." Canadian Journal of Physics 66, no. 10 (1988): 871–77. http://dx.doi.org/10.1139/p88-144.

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In this paper we focus on image-contrast optimization between two rough-surface classes. Our approach is based strictly on polarimetric filtering, and therefore, no digital image-processing techniques are employed. The approach is tested on a complete polarimetric synthetic aperture radar (POL-SAR) image of the San Francisco Bay area. The data have been taken with the National Aeronautics and Space Administration – Jet Propulsion Laboratory CV-990L-band POL-SAR system, where eight real numbers (complex elements of a 2 × 2 polarization scattering matrix) are associated with each image pixel. Op

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44

Enning, B. "Matched filter for Gbit/s applications." Electronics Letters 28, no. 1 (1992): 96–97. http://dx.doi.org/10.1049/el:19920059.

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45

Beaucé, Eric, William B. Frank, and Alexey Romanenko. "Fast Matched Filter (FMF): An Efficient Seismic Matched‐Filter Search for Both CPU and GPU Architectures." Seismological Research Letters 89, no. 1 (2017): 165–72. http://dx.doi.org/10.1785/0220170181.

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46

Moustafa, K., M. Romeh, and H. Kamel. "Radar Matched Filter Based on Lattice Wave Digital Filter Approach." International Conference on Electrical Engineering 7, no. 7 (2010): 1–7. http://dx.doi.org/10.21608/iceeng.2010.32845.

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47

Dabas, Poonam, and Amandeep Kaur. "Finger Vein Detection using Gabor Filter, Segmentation and Matched Filter." International Journal of Computer Applications Technology and Research 3, no. 7 (2014): 400–402. http://dx.doi.org/10.7753/ijcatr0307.1002.

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48

Demeechai, T. "Pulse-shaping filters with ISI-free matched and unmatched filter properties." IEEE Transactions on Communications 46, no. 8 (1998): 992. http://dx.doi.org/10.1109/26.705392.

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49

Rodrigues, Luis, Mónica Figueiredo, and Luis Nero Alves. "Optimized Analog Multi-Band Carrierless Amplitude and Phase Modulation for Visible Light Communication-Based Internet of Things Systems." Sensors 21, no. 7 (2021): 2537. http://dx.doi.org/10.3390/s21072537.

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This paper presents a multi-user Visible Light Communication (VLC)-based Internet of Things (IoT) system using multi band-Carrierless Amplitude and Phase (m-CAP) modulation for IoT applications. The proposed system uses a digital m-CAP modulator embedded in a ceiling LED light fixture and analog receivers, aiming at low-cost, low-power, and small-sized IoT devices. The performance was evaluated in terms of the filtering stage design and the usage of guard bands. Different pairs of emitter and receiver filters were considered. While Bessel and Butterworth analog filters were tested in the analo

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50

Shin. "Efficient Partitioning of Matched Filter for Long Pulse in Active Sonar Application." Journal Of The Acoustical Society Of Korea 33, no. 4 (2014): 262. http://dx.doi.org/10.7776/ask.2014.33.4.262.

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