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Mathematical Problems in Engineering - Volume 2014 2014, Article ID 675271, 12 pages -

Research ArticleCollege of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China

Received 14 July 2014; Revised 5 October 2014; Accepted 5 October 2014; Published 23 October 2014

Academic Editor: Massimo Scalia

Copyright © 2014 Weijian Si et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Reducing the computational complexity of the near-field sources and far-field sources localization algorithms has been considered as a serious problem in the field of array signal processing. A novel algorithm caring for mixed sources location estimation based on oblique projection is proposed in this paper. The sources are estimated at two different stages and the sensor noise power is estimated and eliminated from the covariance which improve the accuracy of the estimation of mixed sources. Using the idea of compress, the range information of near-field sources is obtained by searching the partial area instead of the whole Fresnel area which can reduce the processing time. Compared with the traditional algorithms, the proposed algorithm has the lower computation complexity and has the ability to solve the two closed-spaced sources with high resolution and accuracy. The duplication of range estimation is also avoided. Finally, simulation results are provided to demonstrate the performance of the proposed method.

Autor: Weijian Si, Xiaolin Li, Yilin Jiang, and Liangtian Wan

Fuente: https://www.hindawi.com/


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