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Relevant bibliographies by topics / Matched filter

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Academic literature on the topic 'Matched filter'

Author: Grafiati

Published: 4 June 2021

Last updated: 13 June 2025

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Journal articles on the topic "Matched filter"

1

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

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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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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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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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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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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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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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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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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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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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Dissertations / Theses on the topic "Matched filter"

1

Wilkinson, Timothy David. "The binary phase only matched filter." Thesis, University of Cambridge, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.361684.

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Oshima, M., H. Koinuma, S. Muto, et al. "Spin-Filter Tunnel Junction with Matched Fermi Surfaces." American Physical Society, 2012. http://hdl.handle.net/2237/20828.

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West, Jason E. "Matched filter stochastic background characterization for hyperspectral target detection /." Link to online version, 2005. https://ritdml.rit.edu/dspace/handle/1850/1123.

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Becker, Kenneth Alan. "The effects of spectral estimation on matched filter design." Thesis, Virginia Polytechnic Institute and State University, 1985. http://hdl.handle.net/10919/90911.

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Moving-average matched filters (MAMF's) are a class of digital filters used to detect the presence of a known signal in noise. Designing matched filters requires knowledge of the structure of the signal and the noise. If the spectral density of the noise is not known or is changing with time its spectral characteristics must be estimated. Since spectral estimators derive their estimates from a random process realization, the estimates themselves are probabilistic in nature. The performance of MAMF's based on these estimates must, in turn, be distributed in a probabilistic sense. This thesis investigates the performance of MAMF's designed on the basis of several different spectral estimators. Theoretical aspects of MAMF's and spectral estimators are reviewed and developed. A simulation system is used to exercise the spectral estimators and MAMF's and to provide comparative performance data. A graphical representation, using contour plots, is developed and can be used to predict the performance of a given MAMF/signal/spectral estimator combination. Finally, several methods of generating MAMF's whose output performance is relatively insensitive (or robust) to the probabilistic variations caused by the spectral estimators are developed and evaluated. The latter incorporates knowledge of the empirical distribution of the particular spectral estimator used, as well as the freedom of manipulating the signal.<br>M.S.

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Nadar, Mariappan Srirangam 1965. "Hybrid phase-only matched filter for optical pattern recognition." Thesis, The University of Arizona, 1990. http://hdl.handle.net/10150/278105.

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Optical matched filters have been used for the recognition of patterns in a noisy background. Different types of matched filters have been proposed since the introduction of the VanderLugt matched spatial filter. A novel filter, the hybrid phase-only matched filter, is proposed which shows promise for better signal to noise ratio, correlation peak intensity and light efficiency compared to the recently proposed optimal phase-only filter. A neural technique for the design of space-domain binary filter for pattern recognition applications is developed. The method takes advantage of the similarity in the structure of the minimum squared error criterion for the construction of linear discriminant functions and the Lyapunov function of the Hopfield Neural Model.

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Murphy, Thomas E. (Thomas Edward). "Integrated optical grating-based matched filter for fiber-optic communications." Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/16707.

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Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1997.<br>Includes bibliographical references (p. 169-173) and index.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>by Thomas E. Murphy.<br>M.S.

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Rice, Kenneth Lee. "FPGA acceleration of a cortical and a matched filter-based algorithm." Connect to this title online, 2008. http://etd.lib.clemson.edu/documents/1219852472/.

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Rahman, M. S. "An investigation into spectral analysis using a chirp signal matched filter." Thesis, University of Manchester, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.312219.

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Hicks, William T. "An Analysis of Various Digital Filter Types for Use as Matched Pre-Sample Filters in Data Encoders." International Foundation for Telemetering, 1995. http://hdl.handle.net/10150/611585.

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International Telemetering Conference Proceedings / October 30-November 02, 1995 / Riviera Hotel, Las Vegas, Nevada<br>The need for precise gain and phase matching in multi-channel data sampling systems can result in very strict design requirements for presample or anti-aliasing filters. The traditional use of active RC-type filters is expensive, especially when performance requirements are tight and when operation over a wide environmental temperature range is required. New Digital Signal Processing (DSP) techniques have provided an opportunity for cost reduction and/or performance improvements in these types of applications. This paper summarizes the results of an evaluation of various digital filter types used as matched presample filters in data sampling systems.

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Ge, Yaolin. "Development of an underwaterruler using an AUV-deployedbeacon and Matched filter CFARdetector." Thesis, KTH, Marina system, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-290170.

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Our ocean covers more than 70% of our planet’s surface. It is a huge reservoir continuously supplying us with enormousvaluable resources. The autonomous aquaculture, deep sea mining, subsea oil / gas exploitation and marine biology etc.,are the increasingly important driving forces for the development of underwater robotics. For all underwater robotics,navigation and positioning system often endures a challenging problem due to the high attenuation of radio-frequencysignals and the lack of Global Positioning System (GPS). Normally, acoustic navigation is the only way for theunderwater robotics to have the accurate navigation. One core element for the acoustic localisation is the rangeestimation. To provide an accurate range estimate from the underwater vehicles to the fixed reference point, an dropbeaconneeds to be established. In the underwater environment, the acoustic signals suffer from multi-path effects,ambient noises etc., which together with its simplified hardware can impose restrictions on the development of a perfectsystem. This project employs a very simplified hardware to deal with the range estimation problem from the beacon tothe transmitter subjected to the above mentioned issues. The algorithm consists of three main components includingdownsampling, matched filtering and CFAR detection. The downsampling is comprised of three steps such asbasebanding, lowpass filtering and resampling with lower sampling rate. By simulating four different signal typesincluding sinusoidal signal, frequency-modulated signals and M-sequence signal, the sinusoidal waveform is selected tosuit the system’s objective both for simplicity and robustness. A series of tests including tube test, water tank test, nearfieldopen water tests as well as LoLo integration and far-field tests verified and validated the system’s capability toestimate the accurate range (error ≤ 1m) in near field cases (≤ 20 meters). For far-field tests, it proved some furtherimprovements need to be accomplished before it is able to carry out long range missions.

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Books on the topic "Matched filter"

1

Frangou, Andreas. Fast spectral analysis using a chirp signal matches filter. UMIST, 1993.

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2

1968-, Desmarais Martin, ed. Gagne ton match!: Pour les filles de 13 à 17 ans. Dauphin blanc, 2010.

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3

Jordan, Dorsett Weston. A matched filter algorithm for acoustic signal detection. 1985.

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4

Maximum dynamic responses using matched filter theory and random process theory. National Aeronautics and Space Administration, Langley Research Center, 1988.

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5

S, Pototzky Anthony, Perry Boyd, and Langley Research Center, eds. Further studies using matched filter theory and stochastic simulation for gust loads prediction. National Aeronautics and Space Administration, Langley Research Center, 1993.

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S, Pototzky Anthony, Perry Boyd, and Langley Research Center, eds. Maximized gust loads for a nonlinear airplane using matched filter theory and constrained optimization. National Aeronautics and Space Administration, Langley Research Center, 1991.

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S, Pototzky Anthony, and Langley Research Center, eds. On the relationship between matched filter theory as applied to gust loads and phased design loads analysis. National Aeronautics and Space Administration, Langley Research Center, 1989.

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8

A, Zeiler Thomas, Perry Boyd, and Langley Research Center, eds. Time-correlated gust loads using matched-filter theory and random-process theory: A new way of looking at things. National Aeronautics and Space Administration, Langley Research Center, 1989.

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A, Zeiler Thomas, Perry Boyd, and Langley Research Center, eds. Time-correlated gust loads using matched-filter theory and random-process theory: A new way of looking at things. National Aeronautics and Space Administration, Langley Research Center, 1989.

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Time-correlated gust loads using matched-filter theory and random-process theory: A new way of looking at things. National Aeronautics and Space Administration, Langley Research Center, 1989.

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Book chapters on the topic "Matched filter"

1

Mahafza, Bassem R. "Matched Filter." In Radar Systems Analysis and Design Using MATLAB®, 4th ed. Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003051282-6.

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Mahafza, Bassem R. "Matched Filter Receiver." In Handbook of Radar Signal Analysis. Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9781315161402-6.

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3

O’Donnell, Ian. "The Matched-Filter Correlator." In Low-Power CMOS Wireless Communications. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5457-8_9.

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Ludloff, Albrecht. "Matched Filter, Likelihood Ratio Filter und Prewhitening Filter." In Praxiswissen Radar und Radarsignalverarbeitung. Vieweg+Teubner Verlag, 1998. http://dx.doi.org/10.1007/978-3-663-12325-5_6.

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Ludloff, Albrecht. "Matched Filter, Likelihood Ratio Filter und Prewhitening Filter." In Praxiswissen Radar und Radarsignalverarbeitung. Vieweg+Teubner Verlag, 2002. http://dx.doi.org/10.1007/978-3-322-99555-1_6.

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Ludloff, Albrecht. "Matched Filter, Likelihood Ratio Filter und Prewhitening Filter." In Handbuch Radar und Radarsignalverarbeitung. Vieweg+Teubner Verlag, 1993. http://dx.doi.org/10.1007/978-3-322-96329-1_6.

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Döhler, Hans-Ullrich. "Matched Median Filter zur Bildsegmentierung." In Mustererkennung 1989. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-75102-8_34.

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Yang, Sung-Moon Michael. "Matched Filter & Nyquist Pulse." In Modern Digital Radio Communication Signals and Systems. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-57706-3_3.

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Michael Yang, Sung-Moon. "Matched Filter and Nyquist Pulse." In Modern Digital Radio Communication Signals and Systems. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-71568-1_3.

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Dannana, Suresh, Babji Prasad Chapa, and Gottapu Sasibhushana Rao. "Spectrum Sensing Using Matched Filter Detection." In Advances in Intelligent Systems and Computing. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7566-7_49.

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Conference papers on the topic "Matched filter"

1

Arsenault, Henri H., Yun-Long Sheng, and Jean Bulabois. "Improved composite filter for pattern recognition in the presence of noise." In OSA Annual Meeting. Optica Publishing Group, 1986. http://dx.doi.org/10.1364/oam.1986.the1.

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The best threshold level to obtain a given performance for a matched filter in pattern recognition may depend on the noise level. If the noise level is unknown, varies over the image, or is signal-dependent, the performance of the matched filter may be severely affected. This is particularly true of composite filters, which are linear combinations of matched filters used for pattern recognition or classification. This effect may be corrected for by adding an extra noise-correction term to the matched filter. Experimental results show improved performance of composite filters when the extra term is included in the filter.

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2

Tang, Qing, and Bahram Javidi. "One bit representation of nonlinearly transformed matched filters." In OSA Annual Meeting. Optica Publishing Group, 1992. http://dx.doi.org/10.1364/oam.1992.ws6.

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In this presentation, we describe a technique to represent gray scale filters in a binary format such that both the magnitude and the phase of the filter function are preserved.1,2 We show how this technique is applied to represent kth-law nonlinearly transformed matched filters in a binary format. A linear matched filter function is binarized by using a multiple level threshold function to implement the gray scale filter. By selecting a proper threshold function to binarize the matched filter function, the first order correlation signal produced by the binary encoded matched filter becomes equivalent to the first order correlation signal produced by the gray scale nonlinearly transformed matched filter. The binary encoded matched filter function can be written onto a binary SLM in the Fourier plane, and the need for a gray scale SLM is eliminated. Optical experiments and computer simulation tests using the binary encoded filters are presented.

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Schaum, A., and Richard Priest. "The affine matched filter." In SPIE Defense, Security, and Sensing, edited by Sylvia S. Shen and Paul E. Lewis. SPIE, 2009. http://dx.doi.org/10.1117/12.817409.

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Hamzah, S. Y. M., B. H. Ahmad, and Peng Wen Wong. "Multiband matched bandstop filter." In 2010 IEEE Asia-Pacific Conference on Applied Electromagnetics (APACE 2010). IEEE, 2010. http://dx.doi.org/10.1109/apace.2010.5720080.

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Zahari, M. K., B. H. Ahmad, N. A. Shairi, and Peng Wen Wong. "Reconfigurable matched bandstop filter." In 2011 IEEE International RF and Microwave Conference (RFM). IEEE, 2011. http://dx.doi.org/10.1109/rfm.2011.6168736.

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Coston, Scott D., and Nicholas George. "Particulate sorting using matched filters." In OSA Annual Meeting. Optica Publishing Group, 1991. http://dx.doi.org/10.1364/oam.1991.fx7.

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We present theoretical and experimental results using matched filters to sort between two classes of spherical particles. In particular, matched filters are used to distinguish between dielectric and metal spheres. Three separate light scattering regions are compared to identify the best scattering angles; these include the forward, the near forward, and the backscatter regions. Scattering theory is used to calculate the correlation and cross-correlation peaks for the pertinent cases in the output plane of the matched filter. An interesting finding that has not appeared in the literature is that the forward scattering region is an ineffective area in which to use a matched filter for distinguishing between these particles. Of the three scattering regions, the backscatter is shown to be the most effective.

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Ersoy, O. K., and Young R. Yoon. "Recent results in nonlinear matched filtering." In OSA Annual Meeting. Optica Publishing Group, 1989. http://dx.doi.org/10.1364/oam.1989.mff4.

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Nonlinear matched filtering involves the transformation of the signal spectrum and the filter transfer function through a nonlinearity before they are multiplied in the transform domain.1 The resulting filter structures can be considered to be analogous to three-layer neural nets. They have better performance in terms of signal discrimination and lack of false correlation signals and artifacts than previously known filters. Because of nonlinearities, the analysis of nonlinear matched filters requires new approaches different from techniques valid in linear systems. We present recent results on analysis of nonlinear matched filters as well as their generalization to incorporate maximum clustering within class and maximum separation between classes in pattern recognition applications.

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Dickey, F. M., B. V. K. Vijaya Kumar, L. A. Romero, and J. M. Connelly. "Complex ternary matched filters yielding high signal-to-noise ratios." In OSA Annual Meeting. Optica Publishing Group, 1989. http://dx.doi.org/10.1364/oam.1989.mff6.

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Matched spatial filters provide the highest output signal-to-noise ratio in pattern recognition applications but have not become practicable due to the complex nature of the spatial filters required. Lately much research effort has been devoted to methods of avoiding complex filters. This research has suggested binary and ternary real valued approximations to the phase-only filter. Dickey and Hansche1 suggested a quad-phase-only filter that does not suffer from having the simple symmetry of real valued filters and can have improved signal-to-noise ratio. The authors suggest a complex ternary matched filter (CTMF). This CTMF filter function has the form: where IR1 and IR2 are support functions, sr and S1 are the real and imaginary parts of the object function Fourier transform, and β is the threshold line angle. The algorithm introduced by Kumar and Bahri2 can be used to optimize this filter. The optimized CTMF produces signal-to-noise ratios very near the optimal phase-only filter and does not suffer from having the simple symmetry of real valued filters.

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Mayers, A. W., F. T. S. Yu, S. Rajan, S. Wu, and D. A. Gregory. "Colored matched spatial filters recorded in LiNbO3." In OSA Annual Meeting. Optica Publishing Group, 1991. http://dx.doi.org/10.1364/oam.1991.thkk1.

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In many applications it is desirable to implement a correlation system capable of performing color pattern recognition. With mixed gas lasers such as the argon–krypton laser, it is possible to have a single source produce a collinear beam composed of red, green, and blue wavelengths. In this paper we investigate recording reflection and transmission matched spatial filters in photorefractive LiNbO3. We limit our discussion to simultaneous recording of the filter as opposed to sequential recording. We show that the reflection filter suffers from low diffraction efficiency as a result of grating competition, while the transmission filter suffers from wavelength crosstalk caused by grating beating. Finally, we demonstrate a transmission filter that uses a grating in the input plane to separate the wavelengths in the filter plane, and eliminate the color crosstalk.

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Hai-bo, Luo, Jiao An-bo, Xu Ling-yun, and Shao Chun-yan. "Edge detection using matched filter." In 2015 27th Chinese Control and Decision Conference (CCDC). IEEE, 2015. http://dx.doi.org/10.1109/ccdc.2015.7162087.

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Reports on the topic "Matched filter"

1

West, Jason E., David W. Messinger, Emmett J. Ientilucci, John Kerekes, and John R. Schott. Matched Filter Stochastic Background Characterization for Hyperspectral Target Detection. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada431246.

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Marqusee, Jeffrey, George Robitaille, and Thomas Bell. Matched Filter Processor for Detection and Discrimination of Unexploded Ordnance. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada603913.

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Nuttall, Albert H. Operating Characteristics for Indicator Or-ing of Incoherently Combined Matched-Filter Outputs. Defense Technical Information Center, 1987. http://dx.doi.org/10.21236/ada188485.

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4

Olson, Richard F., William J. Braselton, and Richard D. Mohlere. Digital Tapped Delay Lines for HWIL Testing of Matched Filter Radar Receivers. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada513079.

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Gerlach, Karl. A Numerically Efficient Digital Matched Filter for Periodic and Windowed Periodic Radar Waveforms. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada193132.

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Keiswetter, Dean. Matched Filter Processor for Detection and Discrimination of Unexploded Ordnance: OASIS Montaj Integration. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada637688.

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Carmichael, Joshua, Omar Marcillo, and Monica Maceira. Los Alamos National Laboratory Technical Report: The Modeled Performance of the ORNL Matched Filter Detector for Seismic Signatures of Multi-Axle Tractor Trailers. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1825400.

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8

Humblet, Pierre A. Design of Optical Matched Filters. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada459249.

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Martinez, Andrew B., and John B. Thomas. Finite Length Discrete Matched Filters. Defense Technical Information Center, 1986. http://dx.doi.org/10.21236/ada164869.

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Gaynor, E. S., and H. J. Caulfield. Investigation of High Efficiency Generalized Matched Filters. Defense Technical Information Center, 1985. http://dx.doi.org/10.21236/ada158698.

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