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Novel Z-Domain precoding method for blind separation of spatially correlated signals

journal contribution
posted on 2013-01-01, 00:00 authored by Yong XiangYong Xiang, D Peng, Yang Xiang, S Guo
In this paper, we address the problem of blind separation of spatially correlated signals, which is encountered in some emerging applications, e.g., distributed wireless sensor networks and wireless surveillance systems. We preprocess the source signals in transmitters prior to transmission. Specifically, the source signals are first filtered by a set of properly designed precoders and then the coded signals are transmitted. On the receiving side, the Z-domain features of the precoders are exploited to separate the coded signals, from which the source signals are recovered. Based on the proposed precoders, a closed-form algorithm is derived to estimate the coded signals and the source signals. Unlike traditional blind source separation approaches, the proposed method does not require the source signals to be uncorrelated, sparse, or nonnegative. Compared with the existing precoder-based approach, the new method uses precoders with much lower order, which reduces the delay in data transmission and is easier to implement in practice.

History

Journal

IEEE transactions on neural networks and learning systems

Volume

24

Issue

1

Pagination

94 - 105

Publisher

IEEE

Location

Piscataway, N.J.

ISSN

2162-237X

eISSN

2162-2388

Language

eng

Publication classification

C1 Refereed article in a scholarly journal

Copyright notice

2013, IEEE