Eigenspace-Based Adaptive Array Robust to Steering Errors By Effective Interference Subspace Estimation 


Vol. 37,  No. 4, pp. 269-277, Apr.  2012


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  Abstract

When there are mismatches between the beamforming steering vector and the array response vector for the desired signal, the performance can be severely degraded as the adaptive array attempts to suppress the desired signal as well as interferences. In this paper, an robust method is proposed for the adaptive array in the presence of both direction errors and random errors in the steering vector. The proposed method first finds a signal-plus-interference subspace (SIS) from the correlation matrix, which in turn is exploited to extract an interference subspace based on the structure of a uniform linear array (ULA), the effect of the desired signal direction vector being reduced as much as possible. Then, the weight vector is attained to be orthogonal to the interference subspace. Simulation shows that the proposed method, in terms of signal-to-interference plus noise ratio (SINR), outperforms existing ones such as the doubly constrained robust Capon beamformer (DCRCB).

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  Cite this article

[IEEE Style]

Y. Choi, "Eigenspace-Based Adaptive Array Robust to Steering Errors By Effective Interference Subspace Estimation," The Journal of Korean Institute of Communications and Information Sciences, vol. 37, no. 4, pp. 269-277, 2012. DOI: .

[ACM Style]

Yang-Ho Choi. 2012. Eigenspace-Based Adaptive Array Robust to Steering Errors By Effective Interference Subspace Estimation. The Journal of Korean Institute of Communications and Information Sciences, 37, 4, (2012), 269-277. DOI: .

[KICS Style]

Yang-Ho Choi, "Eigenspace-Based Adaptive Array Robust to Steering Errors By Effective Interference Subspace Estimation," The Journal of Korean Institute of Communications and Information Sciences, vol. 37, no. 4, pp. 269-277, 4. 2012.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880