Title :
A DOA and polarization estimation method using a spatially non-collocated vector sensor array
Author :
Fang Liu ; Huiyong Li ; Wei Xia ; Yikai Wang
Author_Institution :
Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
To reduce the mutual coupling across the collocated sensor, a distributed array geometry composed of crossed dipole pair is introduced in this paper. Based on the non-collocated vector sensor array, an ESPRIT-based method is newly proposed to estimate the direction of arrival (DOA) and polarization parameter. Due to the special structure of non-collocated array, the DOA and polarization parameter are paired automatically, and thus the computational complexity is greatly reduced. The Cramer-Rao Lower Bound (CRLB) has been derived and the performance of DOA and polarization estimation for the distributed array is also analyzed. Simulation results verify the effective parameter estimation performance of the proposed method by using a spatially non-collocated array.
Keywords :
array signal processing; computational complexity; direction-of-arrival estimation; parameter estimation; CRLB; Cramer-Rao lower bound; DOA estimation method; ESPRIT-based method; computational complexity; crossed dipole pair; direction-of-arrival estimation; distributed array geometry; effective parameter estimation performance; mutual coupling reduction; polarization estimation method; polarization parameter estimation; spatially-noncollocated vector sensor array; Arrays; Direction-of-arrival estimation; Estimation; Mutual coupling; Signal to noise ratio; Vectors; CRLB; DOA; mutual coupling; non-collocated vector sensor array; polarization estimation;
Conference_Titel :
Signal and Information Processing (ChinaSIP), 2014 IEEE China Summit & International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4799-5401-8
DOI :
10.1109/ChinaSIP.2014.6889347