用混沌序列降低MIMO雷达波形自相关旁瓣和互相关

doi:10.3969/j.issn.1001-2400.2012.05.008

Abstract

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

SHEN Dong;ZHANG Linrang;LIU Xin;LIU Nan. Reducing the waveform auto-correlation sidelobes and cross-correlation of MIMO radar by using chaotic sequences[J].J4, 2012, 39(5): 42-46+60.

References

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

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