In this paper, we develop an algorithm for data-adaptive beamspace preprocessing with robustness against out-of-sector sources. Our algorithm yields an orthogonal beamspace matrix and, hence, it preserves the white noise property at the output of the beamspace preprocessor. The beamspace matrix is designed as a matrix filter that maintains an almost distortionless response towards sources within the beamspace sector while maximally rejects all out-of-sector sources. The columns of the beamspace matrix are designed sequentially, one column at a time. This sequential implementation is curried out by imposing orthogonality constraints between beamspace matrix columns. The proposed algorithm is computationally less expensive as compared to the existing data-adaptive beamspace design techniques. Simulation results are provided to validate the robustness of the developed algorithm, and show its effectiveness. © 2008 IEEE.
|Title of host publication||SAM 2008 - 5th IEEE Sensor Array and Multichannel Signal Processing Workshop|
|Number of pages||5|
|Publication status||Published - 2008|
|Event||SAM 2008 - 5th IEEE Sensor Array and Multichannel Signal Processing Workshop - Darmstadt, Germany|
Duration: 21 Jul 2008 → 23 Jul 2008
|Conference||SAM 2008 - 5th IEEE Sensor Array and Multichannel Signal Processing Workshop|
|Period||21/07/08 → 23/07/08|