A method for optimum sparse array beamforming design (Conference Presentation)

Syed Ali Hamza; Moeness Amin

doi:10.1117/12.2561526

27 April 2020 A method for optimum sparse array beamforming design (Conference Presentation)

Syed Ali Hamza, Moeness Amin

Proceedings Volume 11395, Big Data II: Learning, Analytics, and Applications; 1139503 (2020) https://doi.org/10.1117/12.2561526
Event: SPIE Defense + Commercial Sensing, 2020, Online Only

Abstract

Optimum sparse arrays and sensor placement is an effective tool for improving target detection and estimation capabilities, which is specifically true in the case of the limited system resources. In this paper, we propose a novel approach for maximizing the Signal-to-Interference plus noise ratio (MaxSINR) for receive beamforming applications in a computationally efficient manner. The proposed approach blends the concept of sparse array windowing function and the DFT approach, where the sparse array design is primarily conceived in the transformed domain. We show that the proposed objective function in the transform domain sorts the favorable sparse array configurations w.r.t. the average SINR performance. The proposed approach, therefore, facilitates the implementation of greedy sensor placement approach that permits sequential sensor selection. The transformed domain design is coupled with the sequential sensor placement allowing an efficient implementation.

Conference Presentation

Citation Download Citation

Syed Ali Hamza and Moeness Amin "A method for optimum sparse array beamforming design (Conference Presentation)", Proc. SPIE 11395, Big Data II: Learning, Analytics, and Applications, 1139503 (27 April 2020); https://doi.org/10.1117/12.2561526

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