中文摘要：

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．

英文摘要：

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.