Two Types of Adaptive Beamformer Using 2-D Joint Process Lattice Estimator

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概要

• 論文の詳細を見る

• This paper presents two types of two-dimensional (2-D) adaptive beamforming algorithm which have high rate of convergence. One is a linearly constrained minimum variance (LCMV) beamforming algorithm which minimizes the average output power of a beamformer, and the other is a generalized sidelobe canceler (GSC) algorithm which generalizes the notion of a linear constraint by using the multiple linear constraints. In both algorithms, we apply a 2-D lattice filter to an adaptive filtering since the 2-D lattice filter provides excellent properties compared to a transversal filter. In order to evaluate the validity of the algorithm, we perform computer simulations. The experimental results show that the algorithm can reject interference signals while maintaining the direction of desired signal, and can improve convergent performance.

• 社団法人電子情報通信学会の論文
• 1998-01-25

著者

• HAMADA Nozomu

  the Faculty of Science and Technology, Keio University

• Hamada Nozomu

  The Faculty Of Science And Technology Keio University

• Nakachi Takayuki

  Ntt Optical Network Systems Laboratories

• YAMAOKA Tateo

  The Faculty of Science and Technology, Keio University

• Yamaoka T

  Keio Univ. Yokohama‐shi Jpn

• Yamaoka Tateo

  The Faculty Of Science And Technology Keio University

• Hamada Nozomu

  The Faculty Of Science And Tech Nology Keio University

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