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作 者:柏果 程郁凡[1] 唐万斌[1] BAI Guo;CHENG Yufan;TANG Wanbin(National Key Laboratory of Science and Technology on Communications,University of Electronic Science and Technology of China,Chengdu,Sichuan 611731,China)
机构地区:[1]电子科技大学通信抗干扰技术国家级重点实验室,四川成都611731
出 处:《信号处理》2021年第3期328-335,共8页Journal of Signal Processing
基 金:国家重点研发计划(编号254);国家自然科学基金(U19B2014);通信抗干扰技术国家级重点实验室基金(2102181402)。
摘 要:窄带干扰(Narrowband Interference,NBI),作为一种敌意的频域干扰,会严重地恶化最小频移键控(Minimum Shift Keying,MSK)非相干检测的误码率(Bit Error Rate,BER)性能。为降低窄带干扰对BER性能的影响,MSK非相干接收机一般首先对接收信号进行干扰抑制。然而现有MSK非相干检测算法并未考虑干扰抑制对MSK信号造成的畸变,这制约了窄带干扰下非相干检测的MSK通信系统的BER性能。为了解决这个问题,本文提出了一种基于深度学习的MSK非相干接收机(Deep Learning-Based MSK Noncoherent Receiver,DL-MSKNCR)。该接收机包含一个干扰抑制子网络和一个MSK非相干检测子网络。通过联合训练与优化,MSK非相干检测子网络可以有效地应对干扰抑制子网络对MSK信号造成的畸变。仿真结果表明,DL-MSKNCR显著地提高了NBI下非相干检测的MSK通信系统的BER性能。Narrowband interference(NBI),as kind of hostile frequency-domain interference,can seriously impair the bit error rate(BER)performance of minimum shift keying(MSK)noncoherent detection.To reduce the impact of narrowband interference on BER performance,MSK noncoherent receivers generally first perform interference suppression on received signals.However,existing MSK noncoherent detection algorithms do not consider the distortion of MSK signals caused by interference suppression,which limits the BER performance of the MSK communication system with noncoherent detection under narrowband interference.In order to solve this problem,a deep learning-based MSK noncoherent receiver(DL-MSKNCR)is proposed in this paper.This receiver contains an interference suppression subnetwork and an MSK noncoherent detection subnetwork.Through jointly training and optimizing,the MSK noncoherent detection subnetwork can effectively cope with the distortion of MSK signals caused by the interference suppression subnetwork.The simulation results show that DL-MSKNCD significantly improves the BER performance of the MSK communication system with noncoherent detection under narrowband interference.
分 类 号:TN911.7[电子电信—通信与信息系统]
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