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Noise radar sidelobe suppression algorithm using mismatched filter approach

Published online by Cambridge University Press:  12 August 2016

Janusz S. Kulpa
Janusz S. Kulpa*
Affiliation:
Warsaw University of Technology, Institute of Electronic Systems, Nowowiejska 15/19, 00-665 Warsaw, Poland. Phone: +48 22 234 3672
*
Corresponding author: J.S. Kulpa Email: J.Kulpa@elka.pw.edu.pl
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Abstract

Continuous wave radars usually use separate transmit and receive antennas that are close to each other. In such a configuration, the antenna crosstalk is the strongest echo acquired by the radar surveillance channel. Sidelobes of the strongest echo are spread over all range cells, limiting the dynamic range of the radar. In this paper, a mismatched filter approach is presented that substitutes classic correlation in order to suppress correlation sidelobes. Both simulations and measurements are presented.

Keywords

Radar signal processing and system modelingFilters
Type
Research Papers
Information
International Journal of Microwave and Wireless Technologies , Volume 8 , Special Issue 6: Signal Processing Symposium 2015 , September 2016 , pp. 865 - 869
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2016 

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References

REFERENCES

[1] Horton, B.: Noise-modulated distance measuring systems. Proc. IRE, 47 (5) (1959), 821–828.CrossRefGoogle Scholar
[2] Axelsson, S.: Noise radar using random phase and frequency modulation. IEEE Trans. Geosci. Remote Sens., 42 (11) (2004), 2370–2384.CrossRefGoogle Scholar
[3] Lievsay, J.; Akers, G.: Moving target detection via digital time domain correlation of random noise radar signals, in 2011 IEEE Radar Conf. (RADAR), Kansas City, MO, USA, 2011, 784–788.CrossRefGoogle Scholar
[4] Lukin, K. Millimeter wave noise radar technology, in Third Int. Kharkov Symp. on Physics and Engineering of Millimeter and Submillimeter Waves, 1998 (MSMW’98), Kharkov, Ukraine, 1998, vol. 1, 94–97.Google Scholar
[5] Malanowski, M.; Kulpa, K. Detection of moving targets with continuous-wave noise radar: theory and measurements. IEEE Trans. Geosci. Remote Sens., 50 (9) (2012), 3502–3509.CrossRefGoogle Scholar
[6] Narayanan, R.; Dawood, M.: Doppler estimation using a coherent ultrawide-band random noise radar. IEEE Trans. Antennas Propag., 48 (6) (2000), 868–878.CrossRefGoogle Scholar
[7] Thayaparan, T.; Daković, M.; Stanković, L.: Mutual interference and low probability of interception capabilities of noise radar. IET Radar Sonar Navig., 2 (4) (2008), 294–305.CrossRefGoogle Scholar
[8] Walton, E.; Theron, I.; Gunawan, S.; Cai, L.: Moving vehicle range profiles measured using a noise radar, in IEEE Antennas and Propagation Society Int. Symp. 1997 Digest, Montreal, Canada, July 1997, vol. 4, 2597–2600.Google Scholar
[9] Lukin, K.A. Millimeter wave noise radar technology, in Third Int. Kharkov Symp. on Physics and Engineering of Millimeter and Submillimeter Waves, 1998 (MSMW ’98), Kharkov, Ukraine, 1998, vol. 1, 94–97.Google Scholar
[10] Kulpa, J.S.; Misiurewicz, J.: Pseudo-noise waveform design minimizing range and Doppler masking effect. Int. J. Electron. Telecommun., 57 (3) (2011), 359–362.CrossRefGoogle Scholar
[11] Song, J.; Babu, P.; Palomar, D.P.: Optimization methods for designing sequences with low autocorrelation sidelobes. arXiv:1501.02252, 2014.Google Scholar
[12] Stoica, P.; He, H.; Li, J.: New algorithms for designing unimodular sequences with good correlation properties. IEEE Trans. Signal Process., 57 (4) (2009), 1415–1425.CrossRefGoogle Scholar
[13] Dang, W.; Pezeshki, A.; Howard, S.; Moran, W.: Coordinating complementary waveforms across time and frequency, in 2012 IEEE Statistical Signal Processing Workshop (SSP), Ann Arbor, MI, August 2012, 868–871.CrossRefGoogle Scholar
[14] Golay, M.J.: Complementary series. IRE Trans. Inf. Theory, 7 (2) (1961), 82–87.CrossRefGoogle Scholar
[15] Kulpa, K.: The CLEAN type algorithms for radar signal processing, in Microwaves, Radar and Remote Sensing Symp., 2008 (MRRS 2008), Kiev, Ukraine, 2008, 152–157.CrossRefGoogle Scholar
[16] Xu, X.; Narayanan, R.: Range sidelobe suppression technique for coherent ultra wide-band random noise radar imaging. IEEE Trans. Antennas Propag., 49 (12) (2001), 1836–1842.Google Scholar
[17] Axelsson, S.R.: Suppression of noise floor and dominant reflectors in random noise radar, in Int. Radar Symp., 2006 (IRS 2006), Kraków, Poland, May 2006, 1–4.CrossRefGoogle Scholar
[18] Rohling, H.; Plagge, W.: Mismatched-filter design for periodic binary phased signals. IEEE Trans. Aerosp. Electron. Syst., 25 (6) (1989), 890–897.CrossRefGoogle Scholar
[19] Maślikowski, L.; Kulpa, J.S.: Noise SAR using waveform with reduced correlation noise floor, in Proc. European Radar Conf., Manchester, United Kingdom, 2011, 218–221.Google Scholar
[20] Maślikowski, L.; Contartese, C.; Malanowski, M.; Kulpa, K.: Preliminary results of ground-based noise SAR experiments, in 2010 Eighth European Conf. on Synthetic Aperture Radar (EUSAR), Aachen, Germany, June 2010, 1–4.Google Scholar