| 用混沌序列降低MIMO雷达波形自相关旁瓣和互相关 |
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| 引用本文： | 申东,张林让,刘昕,刘楠.用混沌序列降低MIMO雷达波形自相关旁瓣和互相关[J].西安电子科技大学学报,2012,39(5):42-46,60. |
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| 作者姓名： | 申东 张林让 刘昕 刘楠 |
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| 作者单位： | 西安电子科技大学雷达信号处理国家重点实验室 |
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| 基金项目： | 国家自然科学基金资助项目(61001213);中央高校基本科研业务费资助项目(K50510020021) |
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| 摘 要： | 基于混沌序列的良好相关性和随机性,提出了一种使用混沌序列降低多输入多输出雷达波形自相关旁瓣和互相关的方法.通过不同初值迭代得到混沌序列,然后经过相应的量化和四相编码得到混沌波形.由于不同混沌波形的自相关旁瓣不相关,同时,不同混沌波形的互相关也不相关,因此通过多脉冲压缩积累能够有效地降低自相关旁瓣和互相关在多输入多输出雷达中的影响.输出结果具有较低的旁瓣峰值,从而提高了检测性能。
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| 关 键 词： | 多输入多输出雷达 混沌 相位编码 脉冲压缩 波形设计 |
| 收稿时间： | 2011-05-26 |
Reducing the waveform auto-correlation sidelobes and cross-correlation of MIMO radar by using chaotic sequences |
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| 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].Journal of Xidian University,2012,39(5):42-46,60. |
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| Authors: | SHEN Dong ZHANG Linrang LIU Xin LIU Nan |
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| Affiliation: | (National Key Lab. of Radar Signal Processing, Xidian Univ., Xi'an 710071， China) |
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| 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. |
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| Keywords: | multiple-input multiple-output radar chaos phase coding pulse compression waveform design |
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