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Blind separation of spatially correlated signals mixed by MIMO FIR systems

conference contribution
posted on 2016-09-27, 00:00 authored by Yong XiangYong Xiang, D Peng, L Yang
In this paper, we address blind separation of spatially correlated signals mixed by multiple-input multiple-output (MIMO) finite-impulse-response (FIR) systems. We propose to first preprocess the source signals using precoders in transmitters 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 can be recovered. Different from the traditional blind source separation methods, the proposed method does not require the source signals to be uncorrelated, sparse, or nonnegative. Compared with the existing precoder-based methods, the new method can deal with dynamic mixing systems. Numerical simulations demonstrate the performance advantages of the proposed algorithm over the existing state-of-the-art convolutive BSS methods.

History

Event

Intelligent Control and Automation. World Congress (12th : 2016 : Guilin, China)

Volume

2016-September

Pagination

3208 - 3212

Publisher

IEEE

Location

Guilin, China

Place of publication

Piscataway, N.J.

Start date

2016-06-12

End date

2016-06-15

ISBN-13

9781467384148

Language

eng

Publication classification

E Conference publication; E1 Full written paper - refereed

Copyright notice

2016, IEEE

Title of proceedings

WCICA 2016 : Proceedings of the 12th World Congress on Intelligent Control and Automation