For the existing algorithms control the size of the initial atom set and the maximum number of algorithm iterations by spare information, which would inevitably reduce the accuracy of reconstruction, increase the computational complexity, and limit its practical application. To overcome this problem, this paper proposed an improved algorithm based on orthogonal matching tracking algorithm. The proposed method regarded the number of elements as assumed sparsity as first. And then, it expanded the initial atom at initial stage that the sparsity information was unknown. Finally, it filtered the amplitude of the measured signal by a threshold to realize signal resolution and source number estimation. Based on the compressed sensing algorithm, it originally introduced a coherent relation analysis and coherent signal resolution model, which could help the direction-finder to effectively distinguish the directions of the reflected signals generated by the same signal source among the multiple signal directions indicated by the monitoring software. The experimental results show that the algorithm can clearly distinguish the coherent signals in different environments, and can be adapted to a variety of experimental platforms.

[2022-11-08] Accepted Paper /doc/2022.07.0418/v1

[2023-04-05] Printed Article /doc/2022.07.0418/v2