RACMA - Analytical Method for Blind Binary Signal Separation

Topic: Blind source separation, subspace estimation, and factor analysis

The blind separation of multiple co-channel binary digital signals using an antenna array involves finding a factorization of a data matrix X into X AS, where all entries of S are 1 or −1. It is shown that this problem can be solved exactly and non-iteratively, via a certain generalized eigenvalue decomposition. As indicated by simulations, the algorithm is robust in the presence of noise. An interesting implication is that certain cluster segmentation problems can be solved using eigenvalue techniques.

The attached matlab code implements the RACMA algorithm presented in the paper.

Related publications

  1. Analytical Method for Blind Binary Signal Separation
    A.J. van der Veen;
    IEEE Trans. Signal Processing,
    Volume 45, Issue 4, pp. 1078-1082, April 1997.

Repository data

File: racma.zip
Size: 3 bytes
Modified: 1 October 2008
Type: software
Authors: Alle-Jan van der Veen
Date: January 1996
Contact: Alle-Jan van der Veen