Reduced Dimension Based Two-Dimensional DOA Estimation with Full DOFs for Generalized Co-Prime Planar Arrays

Sensors

Peng Lan¹  Fenggang Sun¹  Guowei Zhang² 

[1] College of Information Science and Engineering, Shandong Agricultural University, Tai’an 271018, China;Information School, Shandong University of Political Science and Law, Jinan 250014, China;

关键词: two-dimensional;    DOA estimation;    generalized co-prime planar array;    partial spectral search;    iterative approach;    degrees-of-freedom (DOFs);   

DOI  :  10.3390/s18061725

来源: DOAJ

【 摘 要 】

In this paper, we investigate the problem of two-dimensional (2D) direction-of-arrival (DOA) estimation for generalized co-prime planar arrays. The classic multiple signal classification (MUSIC)-based methods can provide a superior estimation performance, but suffer from a tremendous computational burden caused by the 2D spectral search. To this end, we reduce the 2D problem into a one-dimensional (1D) one and propose a reduced dimension partial spectral search estimation method, which can compress the search region into a small 1D sector. Moreover, the proposed method can utilize the full information of the entire array without degrees-of-freedom loss. Furthermore, an iterative approach is also proposed to reduce complexity and improve performance. Simulation results show that the proposed methods can provide improved performance with substantially reduced complexity, as compared to other state-of-the-art methods.

【 授权许可】

Unknown