DocumentCode :
2309556
Title :
Modified neural multiple source tracking algorithm in the presence of mutual coupling
Author :
Caylar, Selcuk ; Leblebicioglu, Kemal ; Dural, Gülbin
Author_Institution :
METU, Ankara
fYear :
2007
fDate :
9-15 June 2007
Firstpage :
1124
Lastpage :
1127
Abstract :
In smart antenna systems, mutual coupling between elements can significantly degrade the processing algorithms (H. Zhiyong et al., 2006). In this paper mutual coupling effects on modified neural multiple source tracking algorithm (MN-MUST) has been studied. MN- MUST algorithm applied to the uniform circular array (UCA) geometry for the first time. The validity of MN-MUST algorithm in the presence of mutual coupling has been proved for both uniform linear array (ULA) and UCA. Simulation results of MN-MUST algorithm are provided for UCA for the first time. The presence of mutual coupling degraded the MN-MUST algorithm performed in the absence of mutual coupling, as expected.
Keywords :
adaptive antenna arrays; electrical engineering computing; neural nets; modified neural multiple source tracking algorithm; mutual coupling; smart antenna systems; uniform circular array geometry; uniform linear array; Antenna arrays; Antenna measurements; Azimuth; Degradation; Frequency; Geometry; Mutual coupling; Neural networks; Receiving antennas; Target tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Antennas and Propagation Society International Symposium, 2007 IEEE
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4244-0877-1
Electronic_ISBN :
978-1-4244-0878-8
Type :
conf
DOI :
10.1109/APS.2007.4395696
Filename :
4395696
Link To Document :
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