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Two Types of Adaptive Beamformer Using 2D Joint Process Lattice Estimator
Tateo YAMAOKA Takayuki NAKACHI Nozomu HAMADA
Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Vol.E81A
No.1
pp.117122 Publication Date: 1998/01/25 Online ISSN:
DOI: Print ISSN: 09168508 Type of Manuscript: PAPER Category: Digital Signal Processing Keyword: 2D adaptive beamforming, lattice filter, array signal processing, linearly constrained minimum variance, generalized sidelobe canceler,
Full Text: PDF>>
Summary:
This paper presents two types of twodimensional (2D) 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 2D lattice filter to an adaptive filtering since the 2D 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.

