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—inputmultipl}0utput,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.