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作 者:LIU Yan YI Jianxin WAN Xianrong RAO Yunhua HAO Caiyong
机构地区:[1]School of Electronic Information,Wuhan University,Wuhan 430072,China [2]Shenzhen Research Institute of Wuhan University,Shenzhen 518057,China [3]State Radio Monitoring Center of China,Shenzhen 518120,China
出 处:《Journal of Systems Engineering and Electronics》2024年第5期1098-1108,共11页系统工程与电子技术(英文版)
基 金:supported by the National Natural Science Foundation of China(61931015,62071335,62250024);the Natural Science Foundation of Hubei Province of China(2021CFA002);the Fundamental Research Funds for the Central Universities of China(2042022dx0001);the Science and Technology Program of Shenzhen(JCYJ20170818112037398).
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(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 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.
关 键 词:channel estimation integrated radar and communication(RadCom) passive sensing nonlinear distortion power amplifier(PA) pilot pattern
分 类 号:TN958[电子电信—信号与信息处理] TN722.75[电子电信—信息与通信工程]
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