Journal of Projectiles, Rockets, Missiles and Guidance >
An Improved Blind Source Extraction Algorithm Based on Second Order Statistics
Received date: 2015-04-04
Online published: 2025-05-30
In view of saddle points in blind source extraction algorithm before, an improved blind source extraction algorithm was proposed. Firstly, target signal vector was estimated by using autoregressive model, and a new cost function was proposed by using difference between the estimated vector and the extracted signal vector, effectiveness of new cost function was proved. The optimal solution of the extracted vector was computed by using the steepest descent method to extract vector and weight vector of FIR filter. At last, computer simulation proved that the improved algorithm shows higher reliability than the other two algorithms, and with better extraction effect and keeps higher accuracy in low SNR environment.
LI Fei , LI Guolin , XIE Xin . An Improved Blind Source Extraction Algorithm Based on Second Order Statistics[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2016 , 36(2) : 139 -142 . DOI: 10.15892/j.cnki.djzdxb.2016.02.034
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