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Enhancement Channel Estimation Using Outer-Product Decomposition Algorithm Based on Frequency Transformation

基于频域变换的增强外积分解算法
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摘要 The outer-product decomposition algorithm(OPDA)performs well at blindly identifying system function.However,the direct use of the OPDA in systems using bandpass source will lead to errors.This study proposes an approach to enhance the channel estimation quality of a bandpass source that uses OPDA.This approach performs frequency domain transformation on the received signal and obtains the optimal transformation parameter by minimizing the p-norm of an error matrix.Moreover,the proposed approach extends the application of OPDA from a white source to a bandpass white source or chirp signal.Theoretical formulas and simulation results show that the proposed approach not only reduces the estimation error but also accelerates the algorithm in a bandpass system,thus being highly feasible in practical blind system identification applications.
作者 Xiukun Li Ji Wang Dexin Zhao 李秀坤;王集;赵德鑫(Acoustic Science and Technology Laboratory,Harbin Engineering University,Harbin 150001,China;Key Laboratory of Marine Information Acquisition and Security(Harbin Engineering University),Ministry of Industry and Information Technology,Harbin 150001,China;College of Underwater Acoustic Engineering,Harbin Engineering University,Harbin 150001,China;Advanced Interdisciplinary Technology Research Center,National Innovation Institute of Defense Technology,Beijing 100010,China)
出处 《Journal of Marine Science and Application》 CSCD 2020年第2期283-292,共10页 船舶与海洋工程学报(英文版)
基金 This study is supported by the Natural Science Foundation of China(NSFC)under Grant Nos.11774073 and 51279033.
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