Sequential blind beamforming algorithm using combined CMA/LMS for wireless underground communications

• Published in: 2004 IEEE 60th Vehicular Technology Conference Vol. 5; pp. 3600 - 3604 Vol. 5
• Main Authors: Fares, S.A., Denidni, T.A., Affes, S.
• Format: Conference Proceeding
• Language: English
• Published: Piscataway, New Jersey IEEE 2004
• Subjects: Adaptive arrays; Antenna arrays; Antennas; Antennas and propagation; Applied sciences; Array signal processing; Detection, estimation, filtering, equalization, prediction; Direction of arrival estimation; Directive antennas; Exact sciences and technology; Information, signal and communications theory; Least squares approximation; Radiocommunications; Radiofrequency interference; Signal and communications theory; Signal processing; Signal, noise; Telecommunications; Telecommunications and information theory; Wireless communication; Performance evaluation; Cochannel interference; Gaussian channel; Wireless telecommunication; Adaptive antenna arrays; Beam forming; Simulation; Sequential method; Simulated annealing; Subsoil; Delay time; Antenna array; Least mean squares methods
• ISBN: 0780385217; 9780780385214
• ISSN: 1090-3038
• DOI: 10.1109/VETECF.2004.1404735

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.