Adaptive reduced-rank constrained constant modulus algorithms based on joint iterative optimization of filters for beamforming

Lei Wang, Rodrigo C. De Lamare, Masahiro Yukawa

研究成果: Article査読

21 被引用数 (Scopus)

抄録

This paper proposes a robust reduced-rank scheme for adaptive beamforming based on joint iterative optimization (JIO) of adaptive filters. The novel scheme is designed according to the constant modulus (CM) criterion subject to different constraints. The proposed scheme consists of a bank of full-rank adaptive filters that forms the transformation matrix, and an adaptive reduced-rank filter that operates at the output of the bank of filters to estimate the desired signal. We describe the proposed scheme for both the direct-form processor (DFP) and the generalized sidelobe canceller (GSC) structures. For each structure, we derive stochastic gradient (SG) and recursive least squares (RLS) algorithms for its adaptive implementation. The GramSchmidt (GS) technique is applied to the adaptive algorithms for reformulating the transformation matrix and improving the performance. An automatic rank selection technique is developed and employed to determine the most adequate rank for the derived algorithms. A detailed complexity study and a convexity analysis are carried out. Simulation results show that the proposed algorithms outperform the existing full-rank and reduced-rank methods in convergence and tracking performance.

本文言語English
論文番号5419962
ページ(範囲)2983-2997
ページ数15
ジャーナルIEEE Transactions on Signal Processing
58
6
DOI
出版ステータスPublished - 2010 6
外部発表はい

ASJC Scopus subject areas

  • 信号処理
  • 電子工学および電気工学

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