SSP'05 -- Proceedings

	IEEE/SP 13th workshop on Statistical Signal Processing July, 17-20, 2005 - Bordeaux - France

Information regarding the paper

Title

A Partially Adaptive Beamforming with Slepian-Based Quiescent Response

Author(s)

Huixia He	Graduate Student
Shawn Kraut	Member, IEEE

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Abstract

We propose and investigate a partially adaptive beamformer that employs Slepian sequences in both the quiescent weight vector and the signal blocking matrix. This technique maintains robustness in the sense that it preserves low sidelobe levels under conditions of low training data support, signal steering vector mismatch, and moving interference. The adaptive degrees of freedom are chosen based on the properties of Slepian sequences, in order to mitigate the effects of signal self-nulling. Numerical comparisons with adaptive beamformers with Slepian-based and Chebyshev-based quiescent responses support the efficacy of this method.