J4 ›› 2012, Vol. 39 ›› Issue (5): 42-46+60.doi: 10.3969/j.issn.1001-2400.2012.05.008

• Original Articles • Previous Articles     Next Articles

Reducing the waveform auto-correlation sidelobes and cross-correlation of MIMO radar by using chaotic sequences

SHEN Dong;ZHANG Linrang;LIU Xin;LIU Nan   

  1. (National Key Lab. of Radar Signal Processing, Xidian Univ., Xi'an  710071, China)
  • Received:2011-05-26 Online:2012-10-20 Published:2012-12-13
  • Contact: SHEN Dong E-mail:sdong_2002@sohu.com

Abstract:

Based on the good auto-correlation and random property of chaotic sequences, a method is proposed to reduce the waveform auto-correlation sidelobes and cross-correlation of multiple-input multiple-output(MIMO) radar with chaotic sequences. Chaotic waveforms can be generated by quantifying and quadriphase coding of chaotic sequences from different initial values. As auto-correlation sidelobes of different chaotic waveforms are not correlated, cross-correlations of different chaotic waveforms are not correlated either, so multiple pulse compression accumulation can help to reduce auto-correlation sidelobes and cross-correlation effects in MIMO radar effectively. The output has a low peak sidelobe value and the detection performance is increased. Finally, simulation results show the effectiveness of this method.

Key words: multiple-input multiple-output radar, chaos, phase coding, pulse compression, waveform design

CLC Number: 

  • TN957.51