Target classification with low-resolution radar based on dispersion situations of eigenvalue spectra

Most low-resolution radar systems, especially ground surveillance radar systems, work at relatively low pulse repeat frequency (PRF) and with short time-on-target (TOT) (duration in scanning). Low PRF leads to Doppler ambiguity and short TOT results in low Doppler resolution, which poses a problem to target classification with low-resolution radar based on the jet engine modulation (JEM) characteristic of radar echo. From the pattern classification viewpoint, we propose a method of using dispersion situations of JEM eigenvalue spectra to categorize aeroplanes into three kinds, namely turbojet aircraft, prop aircraft and helicopter. We analyze the mathematical model of JEM echoes consisting of a series of line spectra and regard them as a sum of several series of harmonious waves. Classification features can be extracted based on the harmonious wave sum model. Some schemes for extracting features from echoes within or between pulses are proposed. Low-dimensional features are extracted to reduce computation burden. Our methods do not compensate for the fuselage echoes and are insensitive to the variation of fuselage Doppler. The feasibility of our methods is demonstrated by simulation experiment.

[1]  Moustafa Elshafei,et al.  Parametric models for helicopter identification using ANN , 2000, IEEE Trans. Aerosp. Electron. Syst..

[2]  David G. Stork,et al.  Pattern Classification , 1973 .

[3]  Gerardo J. Melendez,et al.  Spectrum estimation by neural networks and their use for target classification by radar , 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

[4]  P. Pouliguen,et al.  Calculation and analysis of electromagnetic scattering by helicopter rotating blades , 2002 .

[5]  M. Jahangir,et al.  A robust Doppler classification technique based on hidden Markov models , 2002, RADAR 2002.

[6]  G. Linde.  Use of wideband waveforms for target recognition with surveillance radars , 2000, Record of the IEEE 2000 International Radar Conference [Cat. No. 00CH37037].

[7]  J. Martin,et al.  Analysis of the effects of blade pitch on the radar return signal from rotating aircraft blades , 1992 .

[8]  Ding Jian-jiang.  Extraction of JEM Signature Based on Decomposing the Return’s Amplitude and Phase , 2006 .

[9]  A. G. Stove.  A Doppler-based target classifier using linear discriminants and principal components , 2006 .

[10]  B.D. Bullard,et al.  Pulse Doppler signature of a rotary-wing aircraft , 1991, Proceedings of the 1991 IEEE National Radar Conference.

[11]  Henry Leung,et al.  Bayesian and Dempster-Shafer target identification for radar surveillance , 2000, IEEE Trans. Aerosp. Electron. Syst..

[12]  B. Mulgrew,et al.  Analysis of the theoretical radar return signal form aircraft propeller blades , 1990, IEEE International Conference on Radar.

[13]  David G. Stork,et al.  Pattern Classification (2nd ed.) , 1999 .

[14]  Randolph L. Moses,et al.  Autoregressive modeling of radar data with application to target identification , 1988, Proceedings of the 1988 IEEE National Radar Conference.

[15]  He Wei,et al.  Bispectrum-based radar target classification , 1998, ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344).

[16]  M. Andric,et al.  Ground Surveillance Radar Target Classification Based On Fuzzy Logic Approach , 2005, EUROCON 2005 - The International Conference on "Computer as a Tool".

[17]  R. Dizaji,et al.  Target track classification for airport surveillance radar (ASR) , 2006, 2006 IEEE Conference on Radar.

[18]  Sheau-Shong Bor,et al.  Electromagnetic backscattering from aircraft propeller blades , 1997 .

[19]  Young-Soo Kim,et al.  Helicopter classification using time-frequency analysis , 2000 .

[20]  K. M. Ponting,et al.  Correction to `Robust Doppler classification technique based on hidden Markov models' , 2003 .

[21]  P. F. Pellegrini,et al.  Radar signals analysis oriented to target characterization applied to civilian ATC radar , 1992 .

[22]  Enrico Piazza,et al.  Civilian ATC Radars , 1999 .

[23]  Mark R. Bell,et al.  JEM modeling and measurement for radar target identification , 1993 .

[24]  Zhang Peng.  Low Bit Rates Waveform Interpolation Speech Coding Based on Singular Value Decomposition , 2006 .