基于頻域變換的增強外積分解算法

作者：李秀坤,王集,趙德鑫

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.

發文機構：Acoustic Science and Technology Laboratory Key Laboratory of Marine Information Acquisition and Security（Harbin Engineering University） College of Underwater Acoustic Engineering Advanced Interdisciplinary Technology Research Center

關鍵詞：BlindidentificationOuter-productdecompositionalgorithmBandpasswhitesignalChirpsignalSecond-orderstatistics

分類號： TN9[電子電信—信息與通信工程]