Two-Dimensional DOA and Polarization Estimation for a Mixture of Uncorrelated and Coherent Sources with Sparsely-Distributed Vector Sensor Array.
This paper presents an L-shaped sparsely-distributed vector sensor (SD-VS) array with four different antenna compositions. With the proposed SD-VS array, a novel two-dimensional (2-D) direction of arrival (DOA) and polarization estimation method is proposed to handle the scenario where uncorrelated and coherent sources coexist. The uncorrelated and coherent sources are separated based on the moduli of the eigenvalues. For the uncorrelated sources, coarse estimates are acquired by extracting the DOA information embedded in the steering vectors from estimated array response matrix of the uncorrelated sources, and they serve as coarse references to disambiguate fine estimates with cyclical ambiguity obtained from the spatial phase factors. For the coherent sources, four Hankel matrices are constructed, with which the coherent sources are resolved in a similar way as for the uncorrelated sources. The proposed SD-VS array requires only two collocated antennas for each vector sensor, thus the mutual coupling effects across the collocated antennas are reduced greatly. Moreover, the inter-sensor spacings are allowed beyond a half-wavelength, which results in an extended array aperture. Simulation results demonstrate the effectiveness and favorable performance of the proposed method.
College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China. swj0418@263.net.
Weijian
W
Si
College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China. zhaopinjiao@hrbeu.edu.cn.
Pinjiao
P
Zhao
College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China. quzhiyu@hrbeu.edu.cn.
Zhiyu
Z
Qu
DOA estimation; polarization estimation; sparsely-distributed vector sensor array; uncorrelated and coherent sources