Blind Signal Detection for Uniform Rectangular Array via Compressive Sensing Trilinear Model

Abstract:

This paper discusses the signal detection problem with rectangular array, and links the detection problem to the compressed sensing trilinear model. Exploiting this link, we derive a compressed sensing trilinear decomposition-based signal detection algorithm, which can obtain the estimation of the signals from different directions. The proposed algorithm requires no spectral peak searching, and it has lower complexity than conventional trilinear decomposition-based method. Simulation results illustrate the performance of the algorithm.

• Periodical: Advanced Materials Research (Volumes 756-759)
• Pages: 660-664
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.756-759.660
• Online since: September 2013
• Authors: Xiao Fei Zhang, Hua Xing Yu, Jian Feng Li, De Ben
• Keywords: Compressed Sensing, Rectangular Array, Signal Detection, Trilinear Model

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