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Chaotic Discrete Frequency Coding Waveform Design for MIMO Radar

机译:MIMO雷达的混沌离散频率编码波形设计

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摘要

Based on the good correlation property of chaotic discrete frequency coding waveform (CDFCW), the method is proposed to increase the point target and close small target detection performance for multiple-input multiple-output (MIMO) radar. CDFCW can be generated by uniform quantifying and discrete frequency coding from chaotic sequence. Comparing the correlation property of four CDFCWs, the longer Tent discrete frequency coding waveform is chosen to increase the point target detection performance of MIMO radar. Meanwhile, the signal processing model of MIMO radar using CDFCW is built, multiple pulse compression accumulation can help to reduce the cross-correlation and auto-correlation side lobes of chaotic waveforms effectively, and the point target detection performance for MIMO radar is increased, especially for the close small target. Finally, simulation results show the effectiveness of the method.
机译:基于混沌离散频率编码波形(CDFCW)的良好相关性,提出了提高多输入多输出(MIMO)雷达点目标并关闭小目标检测性能的方法。 CDFCW可以通过从混沌序列进行统一量化和离散频率编码来生成。比较四个CDFCW的相关性,选择较长的Tent离散频率编码波形,以提高MIMO雷达的点目标检测性能。同时,建立了基于CDFCW的MIMO雷达信号处理模型,多脉冲压缩累加可以有效降低混沌波形的互相关和自相关旁瓣,提高了MIMO雷达的点目标检测性能。为接近的小目标。最后,仿真结果表明了该方法的有效性。

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