摘要
基于混沌相位编码信号在相关性和随机性等方面的良好特性,提出了一种用混沌相位编码信号提高多输入多输出(multiple-input multiple-output,MIMO)雷达多目标检测性能的方法。取不同初始值代入混沌映射产生不同的混沌序列;通过均匀量化、四相编码得到混沌相位编码波形。通过多脉冲压缩累积有效降低混沌波形的互相关和自相关旁瓣,使得输出结果具有较低的旁瓣峰值,从而提高了MIMO雷达对多目标检测的性能。最后的仿真结果表明了该方法的有效性。
Based on the good auto-correlation and random property of chaotic phase coding signals, a method with chaotic phase coding signals is proposed to improve the performance of multiple-input multiple-output （MIMO） radar for multiple targets detection. Chaotic waveforms can be generated by uniform quantifying and quad- riphase coding for chaotic sequences from different initial values. Multiple pulse compression accumulation can reduce the cross-correlation and auto-correlation sidelobes of chaotic waveforms effectively, the output has a low peak sidelobe value and the performance of an MIMO radar for multiple targets detection is increased. Finally, simulation results show the effectiveness of this method.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2013年第6期1188-1192,共5页
Systems Engineering and Electronics
基金
国家自然科学基金(61001213)
中央高校基本科研业务费专项资金(K50510020021)资助课题
关键词
多输入多输出雷达
混沌序列
波形设计
多目标检测
multiple-input multiple-output （MIMO） radar
chaotic sequence
waveform design
multiple targets detection
