Channel estimation in integrated radar and communication systems with power amplifier distortion

被引:0
|
作者
Liu, Yan [1 ]
Yi, Jianxin [1 ]
Xianrong, Wan [1 ]
Rao, Yunhua [1 ,2 ]
Hao, Caiyong [1 ,3 ]
机构
[1] Wuhan Univ, Sch Elect Informat, Wuhan 430072, Peoples R China
[2] Wuhan Univ, Shenzhen Res Inst, Shenzhen 518057, Peoples R China
[3] State Radio Monitoring Ctr China, Shenzhen 518120, Peoples R China
基金
中国国家自然科学基金;
关键词
channel estimation; integrated radar and communication (RadCom); passive sensing; nonlinear distortion; power; amplifier (PA); pilot pattern; OFDM SIGNALS; PERFORMANCE; OPTIMUM; DESIGN;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
To reduce the negative impact of the power amplifier (PA) nonlinear distortion caused by the orthogonal frequency division multiplexing (OFDM) waveform with high peak-to-average power ratio (PAPR) in integrated radar and communication (RadCom) systems is studied, the channel estimation in passive sensing scenarios. Adaptive channel estimation methods are proposed based on different pilot patterns, considering nonlinear distortion and channel sparsity. The proposed methods achieve sparse channel results by manipulating the least squares the most significant taps. The decision-aided method is used to optimize the sparse channel results to reduce the effect of nonlinear distortion. Numerical results show that the channel estimation performance of the proposed methods is better than that of the conventional methods under different pilot patterns. In addition, the bit error rate performance in communication and passive radar detection performance show that the proposed methods have good comprehensive performance.
引用
收藏
页码:1098 / 1108
页数:11
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