2021/10/07 by Khaled Ardah, Ardah, Khaled, Martin Haardt +1
Computer Science · Engineering · #Direction-of-Arrival Estimation Techniques #Sparse and Compressive Sensing Techniques #Blind Source Separation Techniques
paper · pdf · doi:10.48550/arxiv.2110.03385
This paper proposes a compressed sensing-based high-resolution\ndirection-of-arrival estimation method called gradient orthogonal matching\npursuit (GOMP). It contains two main steps: a sparse coding approximation step\nusing the well-known OMP method and a sequential iterative refinement step\nusing a newly proposed gradient-descent method. To enhance the recoverability,\nwe further propose an efficient projection matrix design method, which\nconsiders the constant modulus constraints imposed by the projection matrix\nhardware components. Simulation results show the effectiveness of the proposed\nmethods as compared to benchmark algorithms.\n