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Presentation of an Intelligent Method for Estimating DOA Signal Radar Based on Hybrid Expectation Maximization Approach

Farid Sardari; M. R. Moniri
Localization of multiple sources and the reception of the signals emitted by those sources are fundamental problems of sensor array processing. Direction-of-Arrival (DOA) estimation has been largely used in many fields, as a case in point: localization and target monitoring and the like. The EM-MUSIC method could scrupulously improve the direction finding accuracy and resolution with low SNR in comparison with the classical MUSIC algorithm which is an uncorrelated algorithm. The method discussed in this paper no longer requires the direct calculation of the inverse covariance matrix and it is an iterative procedure based on Expectation Maximization (EM) algorithm that acts regarding the coherent and non-coherent signal. Moreover, an adaptive compressive processing (CSP) scheme is applied to low-sampling rate and a computationally inexpensive operation in the antenna array processing. In addition, Signal subspace focusing (SSF) algorithm is proposed for use in the coherent signal subspace method for computing the correlation matrices. To verify the performance of the proposed method, simulations were built in Matlab software and final results show the benefits that are achieved
Select Volume / Issues:
Year:
2019
Type of Publication:
Article
Keywords:
Adaptive Compressive Processing; Direction of Arrival Algorithm; EM-MUSIC Method; Signal Subspace Focusing
Journal:
IJECCE
Volume:
10
Number:
1
Pages:
1-10
Month:
January
ISSN:
2249-071X
Hits: 82

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