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