Blind Deconvolution of MIMO-FIR System with Colored Inputs Using Second-Order Statistics

  • KAWAMOTO Mitsuru
    Department of Electronic and Control Systems Engineering, Shimane University
  • INOUYE Yujiro
    Department of Electronic and Control Systems Engineering, Shimane University

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The present paper deals with the blind deconvolution of a Multiple-Input Multiple-Output Finite Impulse Response (MIMO-FIR) system. To deal with the blind deconvolution problem using the second-order statistics (SOS) of the outputs, Hua and Tugnait [7] considered it under the conditions that a) the FIR system is irreducible and b) the input signals are spatially uncorrelated and have distinct power spectra. In the present paper, the problem is considered under a weaker condition than the condition a). Namely, we assume that c) the FIR system is equalizable by means of the SOS of the outputs [11], [14]. Under b) and c), we show that the system can be blindly identified up to a permutation, a scaling, and a delay using the SOS of the outputs. Moreover, based on this identifiability, we show a novel necessary and sufficiently condition for solving the blind deconvolution problem, and then, based on the condition, we propose a new algorithm for finding an equalizer using the SOS of the outputs, while Hua and Tugnait [7] have not proposed any algorithm for solving the blind deconvolution under the conditions a) and b).

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被引用文献 (2)*注記

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詳細情報 詳細情報について

  • CRID
    1572261552371135872
  • NII論文ID
    110003212633
  • NII書誌ID
    AA10826239
  • ISSN
    09168508
  • 本文言語コード
    en
  • データソース種別
    • CiNii Articles

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