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Di Yao
Public Documents
1
Compressed Sensing-Based Off-grid 2-D DOA Estimation for Sparse L-shaped Array and Ga...
Di Yao
and 2 more
October 29, 2024
In this letter, we propose a novel algorithm for sparse L-shaped array that addresses gain/phase uncertainties and off-grid direction of arrival estimation using compressed sensing theory. Firstly, the receiving signal of the sparse array is structured into an Errors in Variables model. Then, a novel algorithm termed IOMP-TLS is proposed for off-grid signal reconstruction and gain/phase uncertainties estimation based on an enhanced greedy algorithm. Finally, the simulations show that our proposed algorithm is superior to many other methods in estimation performance.