DocumentCode :
2045563
Title :
Enhanced adaptive antenna algorithms for asynchronous TDMA systems
Author :
Yeon, Myung-Hoon ; Shynk, John J.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of California, Santa Barbara, CA
fYear :
2008
fDate :
19-21 March 2008
Firstpage :
990
Lastpage :
993
Abstract :
Adaptive beamforming algorithms are presented for time-division multiple-access (TDMA) systems that use Gaussian minimum-shift keying (GMSK) for the transmitted signals. A semi-blind beamforming algorithm based on a least-squares (LS) approximation for constant modulus signals leads to a relatively simple and practical receiver that suppresses cochannel interference (CCI). In order to further improve the receiver performance, filtered training sequences are used to compensate for the phase offsets of the cochannel GMSK signals. Computer simulations demonstrate that this hybrid algorithm improves the receiver performance, whereby the beampattern nulls suppress the CCI affecting the coded data of the TDMA bursts.
Keywords :
adaptive antenna arrays; array signal processing; cochannel interference; filtering theory; interference suppression; least squares approximations; minimum shift keying; time division multiple access; CCI; GMSK; Gaussian minimum-shift keying; adaptive beamforming algorithms; asynchronous TDMA systems; constant modulus signals; enhanced adaptive antenna algorithms; filtered training sequences; least-squares approximation; semi-blind beamforming algorithm; suppresses cochannel interference; time-division multiple-access; Adaptive arrays; Antenna arrays; Approximation algorithms; Array signal processing; Computer simulation; Frequency; GSM; Modulation coding; Radiofrequency interference; Time division multiple access;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Sciences and Systems, 2008. CISS 2008. 42nd Annual Conference on
Conference_Location :
Princeton, NJ
Print_ISBN :
978-1-4244-2246-3
Electronic_ISBN :
978-1-4244-2247-0
Type :
conf
DOI :
10.1109/CISS.2008.4558662
Filename :
4558662
Link To Document :
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