DocumentCode :
1599502
Title :
Performance study of MIMO systems in a clustered multipath channel
Author :
Zhao, Guangze ; Loyka, Sergey
Author_Institution :
Sch. of Inf. Technol. & Eng., Univ. of Ottawa, Ont., Canada
Volume :
1
fYear :
2004
Firstpage :
453
Abstract :
Fading correlation is one of the fundamental limits on the performance of multi-antenna systems. Accurate modeling of the angular power distribution (pdf) is essential for accurate prediction of correlation. Previous studies were limited to the case of single-cluster distribution or uniform pdf. Measurements indicate that multipath often arrives in several angular clusters and with a non-uniform angular cluster pdf. We begin with the popular Salz-Winters model and extend it to the case of a multi-cluster channel and to the case of a non-uniform cluster pdf. The generic model, as well as various approximations which result in compact closed-from expressions, are studied in detail. It is shown that the correlation in a two clusters channel has an oscillatory behavior as antenna spacing increases, regardless of multipath AOA distributions; the envelope of correlation is determined by a single cluster angular spread while the oscillations within the envelope are determined by the inter-cluster angular spread. There exist two types of correlation zeros, which can be beneficially used in system design. The cluster angular pdf has negligible impact on the MIMO capacity and, hence, a simpler uniform model can be used without degradation in accuracy.
Keywords :
MIMO systems; array signal processing; channel capacity; correlation theory; fading channels; multipath channels; MIMO channel capacity; Salz-Winters model; angular power distribution; antenna spacing; clustered multipath channel; correlation prediction; fading correlation; multi-antenna systems; multi-cluster channel; multipath AOA distributions; uniform linear array; Channel capacity; Fading; Information technology; Linear antenna arrays; MIMO; Multipath channels; Power distribution; Power engineering and energy; Power system modeling; Predictive models;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Computer Engineering, 2004. Canadian Conference on
ISSN :
0840-7789
Print_ISBN :
0-7803-8253-6
Type :
conf
DOI :
10.1109/CCECE.2004.1345053
Filename :
1345053
Link To Document :
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