Pseudo Noise Sequence Coded Continuous Radar: A Signal Processing Algorithm

In this paper we develop a novel signal processing algorithm for continuous phase coded Doppler radar using pseudo noise (PN) sequence as the phase coding signal. We exploit the correlation side lobe suppression property of PN sequence in the detection and ranging of targets. The two-dimensional detection (range and Doppler shift estimation/detection) problem is discussed briefly. A mathematical solution of the two-dimensional detection problem for continuous phase coded Doppler radar is presented. The solution is based on the generalized likelihood ratio test (GLRT) detector. Detection performance of the net signal processing algorithm is evaluated analytically. Monte-Carlo simulations support the analysis. The performance is illustrated using the family of receiver operating characteristics.

[1]  Sune R.J. Axelsson,et al.  Suppression of Noise Floor and Dominant Reflectors in Random Noise Radar , 2006, 2006 International Radar Symposium.

[2]  Kyung Sup Kwak,et al.  The modified chirp UWB ranging system for vehicular applications , 2007, 2007 International Symposium on Communications and Information Technologies.

[3]  V. Chandrasekar,et al.  Pulse compression for weather radars , 1998, IEEE Trans. Geosci. Remote. Sens..

[4]  Alan V. Oppenheim,et al.  Discrete-time signal processing (2nd ed.) , 1999 .

[5]  Weixian Liu,et al.  Chaotic phase code for radar pulse compression , 2001, Proceedings of the 2001 IEEE Radar Conference (Cat. No.01CH37200).

[6]  Chandraseakr V. Chandra,et al.  Waveform coding for dual polarization weather radars , 2007, 2007 IEEE International Geoscience and Remote Sensing Symposium.

[7]  J.D. Jenshak,et al.  A fast method for designing optimal transmit codes for radar , 2008, 2008 IEEE Radar Conference.

[8]  S. Kay.  Fundamentals of statistical signal processing: estimation theory , 1993 .

[9]  Jørgen Dall,et al.  Azimuth phase coding for range ambiguity suppression in SAR , 2004, IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium.

[10]  David K. Barton,et al.  Modern Radar System Analysis , 1988 .

[11]  G.J.R. Povey,et al.  A fast acquisition technique for a direct sequence spread spectrum signal in the presence of a large Doppler shift , 1996, Proceedings of ISSSTA'95 International Symposium on Spread Spectrum Techniques and Applications.

[12]  V. Gregers-Hansen,et al.  Code inverse filtering for complete sidelobe removal in binary phase coded pulse compression systems , 2005, IEEE International Radar Conference, 2005..

[13]  Sune R. J. Axelsson,et al.  Random Noise Radar/Sodar With Ultrawideband Waveforms , 2007, IEEE Transactions on Geoscience and Remote Sensing.

[14]  Kevin J. Gartz.  Generation of uniform amplitude complex code sets with low correlation sidelobes , 1992, IEEE Trans. Signal Process..

[15]  Martin H. Ackroyd,et al.  Optimum Mismatched Filters for Sidelobe Suppression , 1973, IEEE Transactions on Aerospace and Electronic Systems.

[16]  Monson H. Hayes,et al.  Statistical Digital Signal Processing and Modeling , 1996 .

[17]  S. Leigh,et al.  Probability and Random Processes for Electrical Engineering , 1989 .