Abstract
In passive radars, coherent integration is an essential method to achieve processing gain for target detection. The cross ambiguity function (CAF) and the method based on matched filtering are the most common approaches. The method based on matched filtering is an approximation to CAF and the procedure is: (1) divide the signal into snapshots; (2) perform matched filtering on each snapshot; (3) perform fast Fourier transform (FFT) across the snapshots. The matched filtering method is computationally affordable and can offer savings of an order of 1000 times in execution speed over that of CAF. However, matched filtering suffers from severe energy loss for high speed targets. In this paper we concentrate mainly on the matched filtering method and we use keystone transform to rectify range migration. Several factors affecting the performance of coherent integration are discussed based on the matched filtering method and keystone transform. Modified methods are introduced to improve the performance by analyzing the impacts of mismatching, precision of the keystone transform, and discretization. The modified discrete chirp Fourier transform (MDCFT) is adopted to rectify the Doppler expansion in a multi-target scenario. A novel velocity estimation method is proposed, and an extended processing scheme presented. Simulations show that the proposed algorithms improve the performance of matched filtering for high speed targets.
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References
Auger, F., Flandrin, P., 1995. Improving the readability of time-frequency and time-scale representations by the reassignment method. IEEE Trans. Signal Process., 43(5): 1068–1089. [doi:10.1109/78.382394]
Barbarossa, S., 1995. Analysis of multi-component LFM signals by a combined Wigner-Hough transform. IEEE Trans. Signal Process., 43(6):1511–1515. [doi:10.1109/78.388866]
Berger, C., Demissie, B., Heckenbach, J., 2010. Signal processing for passive radar using OFDM waveforms. IEEE J. Sel. Topics Signal Process., 4(1):226–238. [doi:10.1109/JSTSP.2009.2038977]
Celik, N., Youn, H.S., Omaki, N., et al., 2011. Experimental evaluation of passive radar approach for homeland security applications. IEEE Int. Symp. on Antennas and Propagation, p.224–227. [doi:10.1109/APS.2011.5996635]
Cherniakov, M., 2008. Bistatic Radar: Emerging Technology. John Wiley & Sons, West Sussex, England, p.301–302.
Deng, T.D., Jiang, C.S., 2011. Evaluations of keystone transforms using several interpolation methods. IEEE CIE Int. Conf. on Radar, p.1876–1878. [doi:10.1109/CIE-Radar.2011.6159939]
Dong, Y.Q., Tao, R., Zhou, S.Y., et al., 1999. Multicomponent chirp signal detection using fractional Fourier analysis. J. Syst. Eng. Electron., 10(3):57–63.
Griffiths, H.D., 2011. Developments in bistatic and networked radar. IEEE CIE Int. Conf. on Radar, p.10–13. [doi:10.1109/CIE-Radar.2011.6159708]
Guo, X., Sun, H.B., Wang, S.L., et al., 2002. Comments on “Discrete chirp-Fourier transform and its application to chirp rate estimation”. IEEE Trans. Signal Process., 50(12):3115. [doi:10.1109/TSP.2002.805492]
Howland, P., 2005. Passive radar systems. IEE Proc.-Radar Sonar Navig., 152(3):105–106. [doi:10.1049/ip-rsn:20059064]
Howland, P., Maksimiuk, D., Reitsma, G., 2005. FM radio based bistatic radar. IEE Proc.-Radar Sonar Navig., 152(3):107–115. [doi:10.1049/ip-rsn:20045077]
Li, Y., Zeng, T., Long, T., et al., 2006. Range migration compensation and Doppler ambiguity resolution by keystone transform. IEEE CIE Int. Conf. on Radar, p.1–4. [doi:10.1109/ICR.2006.343404]
Liu, L., Tao, R., Zhang, N., 2011. The CAF-DFRFT-KT algorithm for high-speed target detection in passive radar. Int. Conf. on Instrumentation, Measurement, Computer, Communication and Control, p.748–751. [doi:10.1109/IMCCC.2011.190]
Malanowski, M., 2012. Detection and parameter estimation of manoeuvring targets with passive bistatic radar. IET Radar Sonar Navig., 6(8):739–745. [doi:10.1049/iet-rsn.2012.0072]
Malanowski, M., Kulpa, K., Olsen, K.E., 2011. Extending the integration time in DVB-T based passive radar. Proc. 8th European Radar Conf., p.190–193.
National Standardization Committee of China, 2006. GB 20600-2006. Framing Structure, Channel Coding and Modulation for Digital Television Terrestrial Broadcasting System (in Chinese).
Palmer, J., Palumbo, S., Summers, A., et al., 2011. An overview of an illuminator of opportunity passive radar research project and its signal processing research directions. Dig. Signal Process., 21(5):593–599. [doi:10.1016/j.dsp.2011.01.002]
Palmer, J., Harms, A., Searle, S.J., et al., 2013. DVB-T passive radar signal processing. IEEE Trans. Signal Process., 61(8):2116–2126. [doi:10.1109/TSP.2012.2236324]
Petri, D., Moscardini, C., Martorella, M., et al., 2012. Performance analysis of the batches algorithm for range-Doppler map formation in passive bistatic radar. IET Int. Conf. on Radar Systems, p.1–4. [doi:10.1049/cp.2012.1570]
Xia, X.G., 2000. Discrete chirp-Fourier transform and its application to chirp rate estimation. IEEE Trans. Signal Process., 48(11):3122–3133. [doi:10.1109/78.875469]
Yardley, H.J., 2007. Bistatic radar based on DAB illuminators: the evolution of a practical system. IEEE Radar Conf., p.688–692. [doi:10.1109/RADAR.2007.374302]
Zhao, Z.X., Wan, X.R., Zhang, D.L., et al., 2013. An experimental study of HF passive bistatic radar via hybrid sky-surface wave mode. IEEE Trans. Antennas Propag., 61(1):415–424. [doi:10.1109/TAP.2012.2213062]
Zhu, D.Y., Li, Y., Zhu, Z.D., 2007. A keystone transform without interpolation for SAR ground moving-target imaging. IEEE Geosci. Remote Sens. Lett., 4(1):18–22. [doi:10.1109/LGRS.2006.882147]
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Guan, X., Zhong, Lh., Hu, Dh. et al. An extended processing scheme for coherent integration and parameter estimation based on matched filtering in passive radar. J. Zhejiang Univ. - Sci. C 15, 1071–1085 (2014). https://doi.org/10.1631/jzus.C1400074
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DOI: https://doi.org/10.1631/jzus.C1400074