Title :
A PDF estimation-based iterative MIMO signal detection with unknown interference
Author :
Veselinovic, Nenad ; Matsumoto, Tadashi ; Juntti, Markku
Author_Institution :
Centre for Wireless Commun., Univ. of Oulu, Finland
fDate :
7/1/2004 12:00:00 AM
Abstract :
The equivalent diversity order of iterative minimum mean squared error (MMSE) multiuser detectors for multiple input multiple output (MIMO) channels is decreased if they aim at suppressing unknown cochannel interference (UCCI) while detecting multiple users´ signals. In this letter, we propose a new MIMO signal detection scheme with the aim to preserve the detector´s diversity order by estimating the probability density function of the UCCI plus background noise. It is shown that the proposed detector significantly outperforms the conventional detector based on UCCI´s covariance matrix estimation.
Keywords :
MIMO systems; channel estimation; cochannel interference; covariance matrices; diversity reception; equalisers; interference suppression; iterative decoding; least mean squares methods; multiuser detection; probability; turbo codes; MMSE; PDF estimation; background noise; channel equalization; channel estimation; cochannel interference suppression; covariance matrix estimation; detector diversity order; iterative MIMO signal detection; iterative minimum mean squared error; multiple input multiple output channel; multiuser detector; probability density function; turbo multiuser detection; AWGN; Covariance matrix; Decoding; Detectors; Diversity reception; Interchannel interference; MIMO; Multiuser detection; Probability density function; Signal detection; Channel estimation; MIMO; MMSE; PDF; cochannel interference; equalization; estimation; minimum mean squared error; multiple input multiple output; probability density function; turbo multiuser detection;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2004.832731
