论文部分内容阅读
基于混沌相位编码波形(chaotic phase coding waveform,CPCW)的良好相关性和随机性,提出了用CPCW提高多发多收(multiple-input multiple-output,MIMO)雷达目标检测性能的方法。通过对混沌序列的均匀量化、四相编码得到CPCW。比较4种CPCW的相关性,选取较长的Tent相位编码波形提高MIMO雷达的目标检测性能,特别是对相邻弱小目标的检测性能。同时,基于CPCW建立多脉冲压缩累积信号处理模型。该模型能够有效降低混沌波形的互相关和自相关旁瓣,提高MIMO雷达的目标检测性能,特别是对相邻弱小目标的检测性能。最后的仿真结果表明了该方法的有效性。
Based on the good correlation and randomness of chaotic phase coding waveform (CPCW), a method to improve the target detection performance of multiple-input multiple-output (MIMO) radar using CPCW is proposed. Through the uniform quantization of chaotic sequences, four-phase encoding CPCW. The correlation between the four kinds of CPCWs is compared, and the longer Tent phase encoding waveform is selected to improve the target detection performance of the MIMO radar, especially the detection performance of the adjacent small and small targets. At the same time, a multi-pulse compression cumulant signal processing model is established based on CPCW. The model can effectively reduce the cross-correlation and auto-correlation sidelobes of chaotic waveforms and improve the target detection performance of MIMO radar, especially for the detection performance of adjacent small and small targets. The final simulation results show the effectiveness of this method.