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Tunable Filter Design for Integrated Radar and Communication Waveforms
IEEE Communications Letters ( IF 3.7 ) Pub Date : 2020-10-22 , DOI: 10.1109/lcomm.2020.3033119
Mengchao Jiang 1 , Guisheng Liao 1 , Zhiwei Yang 1 , Yongjun Liu 1 , Yufeng Chen 1
Affiliation  

In an integrated radar and communication system, the filter output of each pulse of the integrated radar and communication waveform usually has high sidelobe level (SLL) and signal-to-noise ratio (SNR) loss as well as serious range sidelobe modulation (RSM). To solve these problems, a joint weighted optimization (JWO) method is proposed to design the filters. In this method, the filters for different integrated radar and communication waveforms are designed by jointly minimizing the RSM, SNR loss, and SLL according to different practical demands. In terms of the RSM, SNR loss, and SLL, the performance of the designed filters is tunable by reasonably changing the weight factors. Finally, several numerical results are presented to verify the effectiveness of the proposed method.

中文翻译:

集成雷达和通信波形的可调滤波器设计

在集成雷达和通信系统中,集成雷达和通信波形的每个脉冲的滤波器输出通常具有较高的旁瓣电平(SLL)和信噪比(SNR)损耗以及严重的旁瓣调制(RSM) 。为了解决这些问题,提出了一种联合加权优化(JWO)方法来设计滤波器。在这种方法中,根据不同的实际需求,通过共同最小化RSM,SNR损耗和SLL来设计用于不同集成雷达和通信波形的滤波器。在RSM,SNR损耗和SLL方面,可以通过合理地更改权重因子来调整设计滤波器的性能。最后,给出了几个数值结果,验证了所提方法的有效性。
更新日期:2020-10-22
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