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

LIU Yan ¹YI Jianxin ¹WAN Xianrong ¹RAO Yunhua ²HAO Caiyong³

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作者信息

1. School of Electronic Information,Wuhan University,Wuhan 430072,China
2. School of Electronic Information,Wuhan University,Wuhan 430072,China;Shenzhen Research Institute of Wuhan University,Shenzhen 518057,China
3. School of Electronic Information,Wuhan University,Wuhan 430072,China;State Radio Monitoring Center of China,Shenzhen 518120,China
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Abstract

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-ave-rage 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 nonli-near distortion and channel sparsity.The proposed methods achieve sparse channel results by manipulating the least squares(LS)frequency-domain channel estimation results to preserve the most significant taps.The decision-aided method is used to optimize the sparse channel results to reduce the effect of non-linear distortion.Numerical results show that the channel estima-tion performance of the proposed methods is better than that of the conventional methods under different pilot patterns.In addi-tion,the bit error rate performance in communication and pas-sive radar detection performance show that the proposed meth-ods have good comprehensive performance.

Key words

channel estimation/integrated radar and communi-cation(RadCom)/passive sensing/nonlinear distortion/power amplifier(PA)/pilot pattern

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基金项目

National Natural Science Foundation of China(61931015)

National Natural Science Foundation of China(62071335)

National Natural Science Foundation of China(62250024)

Natural Science Foundation of Hubei Province of China(2021CFA002)

Fundamental Research Funds for the Central Universities of China(2042022dx0001)

Science and Technology Program of Shenzhen(JCYJ20170818112037398)

出版年

2024

系统工程与电子技术(英文版)

中国航天科工防御技术研究院中国宇航学会中国系统工程学会中国系统仿真学会

系统工程与电子技术(英文版)

CSTPCD

影响因子：0.64

ISSN：1004-4132

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