Blind Separation of Coherent Signals Based on Toeplitz Matrix Reconstruction

Abstract:

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A new blind beamforming algorithm for separating and estimating coherent signals arriving at an antenna array is proposed in this paper. This algorithm is implemented through arranging the received data’s correlation function of each array element and reference array element (the first array element), to form the Hermitian Toeplitz matrix first. Then through the singular value decomposition of the matrix the signal subspace and noise subspace can be get, in order to achieve the direction vector of coherent sources to beamform, which can separate the independent signals from different directions effectively without knowing the transcendent knowledge of the signals. The new approach can estimate the coherent signals’ direction-of-arrival(DOA) on the basis of separation, and has good performance under the low SNR. The simulation results show that the proposed method is effective.

Info:

Periodical:

Edited by:

Robin G. Qiu and Yongfeng Ju

Pages:

331-335

DOI:

10.4028/www.scientific.net/AMM.135-136.331

Citation:

L. Tang et al., "Blind Separation of Coherent Signals Based on Toeplitz Matrix Reconstruction", Applied Mechanics and Materials, Vols. 135-136, pp. 331-335, 2012

Online since:

October 2011

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Price:

$35.00

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