NDLI: Performance Enhancement of the Multi-Modulus Algorithm Based Adaptive Antenna Arrays Using Additional Constraints

Content Provider	IEEE Xplore Digital Library
Author	El-Khamy, S.E. Abd-Elaziz, D.M. Korayem, R.K.
Copyright Year	2007
Description	Author affiliation: Alexandria Univ., Alexandria (El-Khamy, S.E.)
Abstract	The linearly constrained minimum variance (LCMV) algorithm fails to capture the signal if coherent copies (multipath signals) impinge on the array at the same time with the signal. The constant modulus algorithm (CMA) and the multi-modulus algorithm (MMA) techniques solved this problem with the disadvantage of more complicated behavior and the violation of some constraints about null directions staled by the initial weights. This is the main point of interest of the new algorithms proposed in this paper. The proposed algorithms in this paper, namely, the linearly constrained CMA (LCCMA) and linearly constrained MMA (LCMMA) solved this problem and arc able to hold the initial constraints about deep nulls until the adaptation is finished. This property has been successfully used to improve the performance of the MMA algorithm to capture very high signal constellations in multipath and interference environment without having to use the more complicated generalized MMA (GMMA).
Starting Page	1
Ending Page	8
File Size	338478
Page Count	8
File Format	PDF
ISBN	9775031869
DOI	10.1109/NRSC.2007.371343
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-03-13
Publisher Place	Egypt
Access Restriction	Subscribed
Rights Holder	Adademy of Science, Egypt
Subject Keyword	Adaptive arrays Antenna arrays Interference constraints Constellation diagram Linear antenna arrays Power generation Signal processing Telecommunications Jamming Signal generators
Content Type	Text
Resource Type	Article

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