Title :
A High Resolution Algorithm for Nonplanar Array with Arbitrary Geometry without Source Number Estimation
Author :
Ke, He ; Xiaomin, Zhang ; Peng, Han ; Yan´an, Zhao ; Yang, Yu
Author_Institution :
Coll. Of Marine, Northwestern Polytech. Univ., Xi´´an, China
Abstract :
The performances of most of the high resolution methods always depend on the estimation of the source number. In real application, when the estimated number of signals is not correct, the orthogonality between signal subspace and noise subspace can not be maintained any more. And the performance of DOA estimation algorithm will deteriorate severely. In this paper, a high resolution algorithm called m-MVM without source number estimation and eigendecomposition for Direction-Of-Arrival (DOA) estimation is proposed, which is an improvement of the Minimum Variance Method (MVM). Furthermore, it is suitable to nonplanar arrays of arbitrary geometries. Some representative computer simulations are presented to illustrate the performance comparison between different algorithms and different arrays.
Keywords :
direction-of-arrival estimation; eigenvalues and eigenfunctions; DOA estimation algorithm; arbitrary geometry; computer simulations; direction-of-arrival estimation; eigendecomposition; m-MVM; minimum variance method; noise subspace; nonplanar array high resolution algorithm; signal subspace; source number estimation; Algorithm design and analysis; Computer simulation; Covariance matrix; Direction of arrival estimation; Geometry; Multiple signal classification; Planar arrays; Sensor arrays; Signal resolution; Solid modeling; DOA; MVM; nonplanar array;
Conference_Titel :
Signal Acquisition and Processing, 2010. ICSAP '10. International Conference on
Conference_Location :
Bangalore
Print_ISBN :
978-1-4244-5724-3
Electronic_ISBN :
978-1-4244-5725-0
DOI :
10.1109/ICSAP.2010.25
