DOA estimation Of Underwater Wideband Signals based on Improved OMP method
Zigao Li, Shuqiu Li, Jidong Jia, Donghao Ju
Abstract
Zigao Li, Shuqiu Li, Jidong Jia, Donghao Ju
Abstract
In previous work, we proposed an improved Orthogonal Matching Pursuit (OMP) based local refining strategy, which is named LROMP_DOA. It turns out that LROMP_DOA is an efficient method for narrowband signal, which has significant higher bearing resolution and accuracy, compare with the conventional OMP_DOA. In this paper, we propose a coherent subspace method for extension of the LROMP_DOA to wideband signals. In this method, spatial resampling wideband focusing method is applied for focusing wideband signal energy to the reference frequency, then the LROMP_DOA is applied to the combined narrowband signal. The results of simulation experiments and the sea trial confirm the performance superiority of the proposed algorithm, such as low computational complexity, and better performance in low SNR situation.
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In previous work, we proposed an improved Orthogonal Matching Pursuit (OMP) based local refining strategy, which is named LROMP_DOA. It turns out that LROMP_DOA is an efficient method for narrowband signal, which has significant higher bearing resolution and accuracy, compare with the conventional OMP_DOA. In this paper, we propose a coherent subspace method for extension of the LROMP_DOA to wideband signals. In this method, spatial resampling wideband focusing method is applied for focusing wideband signal energy to the reference frequency, then the LROMP_DOA is applied to the combined narrowband signal. The results of simulation experiments and the sea trial confirm the performance superiority of the proposed algorithm, such as low computational complexity, and better performance in low SNR situation.
Key concepts: Wideband, Computer science, Underwater, Estimation, Speech recognition, Acoustics, Electronic engineering, Geology