Adaptive Minimum Entropy Beamforming Algorithms for Narrowband Signals

  • Anum Ali
  • Shafayat Abrar
Part of the Communications in Computer and Information Science book series (CCIS, volume 281)

Abstract

Blind beamforming has been studied extensively in recent times. Array signal processing is an effective technique for signal extraction in communication systems. We employ minimum entropy deconvolution (MED) principle for source extraction. Results are shown which indicate good performance in comparison with conventional adaptive algorithms like the constant modulus algorithm and the multi-modulus algorithm.

Keywords

Minimum entropy deconvolution constant modulus algorithm multi modulus algorithm narrowband adaptive beamforming 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Anum Ali
    • 1
  • Shafayat Abrar
    • 1
  1. 1.Department of Electrical EngineeringCOMSATS Institute of Information TechnologyIslamabadPakistan

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