Direction of arrival (DOA) estimation based on underwater acoustic vector-sensor array has extensive applications in the oceanic field. To realize an accurate DOA estimation with lower complexity, this paper proposes ...
详细信息
ISBN:
(纸本)9781728117089
Direction of arrival (DOA) estimation based on underwater acoustic vector-sensor array has extensive applications in the oceanic field. To realize an accurate DOA estimation with lower complexity, this paper proposes a novel method to carry out the two-dimentional (2-D) DOA estimation. Firstly, we introduce the regularized multiple focal underdetermined system solver algorithm (M-FOCUSS) to solve the jointly sparse vectors reconstruction problem to determine the grid points of true DOAs accurately. Then, we utilize Taylor series expansion to precisely approximate the steering vectors of true DOAs and achieve an accurate estimation of the off-grid errors by solving an optimization problem. Simulation results show that our algorithm is of less computational complexity but leads to a high DOA estimation accuracy.
Direction of arrival (DOA) estimation based on underwater acoustic vector-sensor array has extensive applications in the oceanic field. To realize an accurate DOA estimation with lower complexity, this paper proposes ...
详细信息
ISBN:
(纸本)9781728117096
Direction of arrival (DOA) estimation based on underwater acoustic vector-sensor array has extensive applications in the oceanic field. To realize an accurate DOA estimation with lower complexity, this paper proposes a novel method to carry out the two-dimentional (2-D) DOA estimation. Firstly, we introduce the regularized multiple focal underdetermined system solver algorithm (M-FOCUSS) to solve the jointly sparse vectors reconstruction problem to determine the grid points of true DOAs accurately. Then, we utilize Taylor series expansion to precisely approximate the steering vectors of true DOAs and achieve an accurate estimation of the off-grid errors by solving an optimization problem. Simulation results show that our algorithm is of less computational complexity but leads to a high DOA estimation accuracy.
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