DocumentCode :
2755475
Title :
Sequential blind beamforming algorithm using combined CMA/LMS for wireless underground communications
Author :
Fares, Salma Ait ; Denidni, Tayeb A. ; Affes, Sofiéne
Author_Institution :
INRS-EMT, Canada
Volume :
5
fYear :
2004
fDate :
26-29 Sept. 2004
Firstpage :
3600
Abstract :
In this contribution, we propose a new smart antenna array (SAA) structure using sequential blind beamforming for multipath correlated signals in an underground mining environment. This adaptive receiver is dedicated to underground environments, where the multipath problem is more severe than the co-channel interference. In this confined area, the received path arrivals are not only highly correlated but actually belong to the same signal source. Consequently, we exploit the idea that these arrival paths are delayed replicas from an identical source. Simulation results confirm the effectiveness of the proposed blind beamformer. It outperforms the CMA beamformer by approximately 2.5 dB and 4.1 dB for Gaussian and Rayleigh channels, respectively.
Keywords :
Gaussian channels; Rayleigh channels; adaptive antenna arrays; adaptive signal processing; array signal processing; indoor radio; interference suppression; least mean squares methods; mining; multipath channels; receiving antennas; Gaussian channels; Rayleigh channels; adaptive receiver; combined CMA/LMS; constant modulus algorithm; least-mean-square algorithm; multipath correlated signals; sequential blind beamforming algorithm; smart antenna array; underground mining; wireless underground communications; Adaptive arrays; Antenna arrays; Antennas and propagation; Array signal processing; Direction of arrival estimation; Directive antennas; Least squares approximation; Radiofrequency interference; Signal processing; Wireless communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference, 2004. VTC2004-Fall. 2004 IEEE 60th
ISSN :
1090-3038
Print_ISBN :
0-7803-8521-7
Type :
conf
DOI :
10.1109/VETECF.2004.1404735
Filename :
1404735
Link To Document :
بازگشت