A virtual array decorrelation algorithm based on thereal signal subspace

作者：Li, Xin^*; Wang, Wei; Wang, Xianpeng

来源：Journal of Harbin Engineering University, 2012, 33(9): 1132-1137.

DOI：10.3969/j.issn.1006-7043.201111040

• Coherent signals
• Computation loads
• Direction of arrivalestimation(DOA)
• Estimation precision
• Signal sub-space
• Spatial resolution
• Unitary ESPRIT
• Virtual array

As for the problem of direction of arrival (DOA) estimation in a coherent environment, many existing methods do not work correctly when existing a coherent source. In view of this problem, a virtual array decorrelation algorithm based on the real-valued feature subspace method was proposed. With regard to this approach, a virtual sub-array can be constructed by the received data to de-correlate the coherent sources based on virtual array translation. Then a real signal subspace can be obtained by changing the complex number field into the real number field of the covariance matrix, and at last the direction of arrival (DOA) can be estimated by using the unitary ESPRIT method. With this method, the effective array aperture is not decreased, the spatial resolution of array is remained, and the estimation precision is high. The coherent signals are detected with sensors. The computation load is reduced by using the unitary ESPRIT method without a spectral peak search. This method has better performance in estimation accuracy; the results of simulation verified the effectiveness and superiority of the algorithm.

• 出版日期2012
• 单位哈尔滨工程大学