2-D direction finding for coexisted independent and coherent signals

Chunlian An; Dengmei Zhou; Ke Tang; Yong Wang; Liangliang Tian

doi:10.1117/12.2656577

20 October 2022 2-D direction finding for coexisted independent and coherent signals

Chunlian An, Dengmei Zhou, Ke Tang, Yong Wang, Liangliang Tian

Proceedings Volume 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022); 124511M (2022) https://doi.org/10.1117/12.2656577
Event: 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 2022, Chongqing, China

Abstract

The present 2-D direction finding methods for coexisted independent and coherent signals are mainly adopting array containing large number of array sensors, which have great computational complexity and bad utilization rate of array aperture. In this article, a 2-D DOA estimation method is presented based on the L-shape array. The estimation of the independent and coherent signals is conducted separately. the DOAs of the uncorrelated signal are estimated firstly, and the information of the coherent signal can be eliminated by exploiting the property of the coherent signals. Besides, utilizing the Toeplitz property of the uncorrelated data covariance matrix, we can obtain the data matrix containing the information of the coherent signals only. Sufficient theoretical analysis and simulation results are conducted, which show that the presented method has smaller computational complexity, higher array aperture and better performance comparing with the present methods.

Citation Download Citation

Chunlian An, Dengmei Zhou, Ke Tang, Yong Wang, and Liangliang Tian "2-D direction finding for coexisted independent and coherent signals", Proc. SPIE 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 124511M (20 October 2022); https://doi.org/10.1117/12.2656577

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