Paper Title:
Blind Separation of Coherent Signals Based on Toeplitz Matrix Reconstruction
  Abstract

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
Chapter
Chapter 3: Advanced Intelligence & Manufacturing
Edited by
Robin G. Qiu and Yongfeng Ju
Pages
331-335
DOI
10.4028/www.scientific.net/AMM.135-136.331
Citation
L. Tang, H. Song, L. J. Hu, "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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