Title :
Unbiased blind separation using the threshold nonlinearity
Author :
Mathis, Heinz ; Joho, Marcel
Author_Institution :
Signal & Inf. Process. Lab., Swiss Federal Inst. of Technol., Zurich, Switzerland
Abstract :
The stability analysis of blind signal separation algorithms using the threshold nonlinearity is extended to discrete distributions, such as used in digital communication systems. Conditions for the threshold parameter are derived. An extension to the standard algorithm mitigates separation coefficient bias, which is introduced by additive noise at the sensors. Simulations quantify the improvement in terms of steady-state interchannel interference
Keywords :
AWGN; adjacent channel interference; digital radio; signal processing; stability; additive noise; blind signal separation; digital communication systems; discrete distributions; separation coefficient bias; stability analysis; steady-state interchannel interference; threshold nonlinearity; unbiased blind separation; Additive noise; Binary phase shift keying; Blind source separation; Digital communication; Equations; Gaussian noise; Information processing; Signal processing; Stability analysis; Vectors;
Conference_Titel :
Wireless Communications, 2001. (SPAWC '01). 2001 IEEE Third Workshop on Signal Processing Advances in
Conference_Location :
Taiwan
Print_ISBN :
0-7803-6720-0
DOI :
10.1109/SPAWC.2001.923892
