Single-channel Blind Source Separation Achieved by the LCL-FRESH Filter.

Autor: HE Ji-ai, LIU Lin-zhi, LI Ying-tang
Předmět:
Zdroj: Journal of Signal Processing; Feb2014, Vol. 30 Issue 2, p236-242, 7p
Abstrakt: Time-frequency overlapped signals existing in the wireless spectrum detection and military reconnaissance receiver, which are difficult to be separated and extracted information by using the time-frequency domain filter and conventional blind source separation method. According to the independence and sparsity of single-channel time-frequency over-lapped modulation signal in cyclic spectral domain a new method is proposed to achieve two source signals separation through the cyclic spectrum domain filter in this paper. This method can be stated as follows: Firstly, the cyclic frequency #977; is found through the cyclic frequency estimation by the periodogram, where the modulated signal has the maximum spectral correlation, using ϑ as frequency shift of the LCL-FRESH filter, the modulated signals with the cyclic frequency ϑ are extracted from single-channel time-frequency overlapped signal by a filter. Then, time-frequency overlapped QPSK/BPSK signal adding white noise is simulated in the MATLAB environment. The result indicates that the two source signals can be separate defectively with this method. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index