DocumentCode :
1962709
Title :
Accurate detection of the number of arrival signals using pre-estimated signal subspace
Author :
Ishikawa, Yoshihisa ; Ichige, Koichi ; Arai, Hiroyuki
Author_Institution :
Dept. of Electr. & Comput. Eng., Yokohama Nat. Univ., Japan
fYear :
2005
fDate :
5-8 June 2005
Firstpage :
840
Lastpage :
844
Abstract :
This paper presents an accurate detector of the number of incident waves arriving at smart antenna. The array antenna and MIMO techniques are developing toward 4th generation mobile communication systems, and the accurate estimation of propagation environment becomes more important. This paper attracts attention to the accurate detection of the number of incident waves which is one of important characteristics in multidirectional communication. There are some recent papers on the accurate detection, but they still have problems of computational cost or estimation accuracy in severe environment like low SNR, small number of snapshots or adjacent waves. Thus AIC and MDL methods based on information theory are still often used. In this paper, we propose an accurate estimation method of the number of arrival signals using the orthogonality of sub-spaces derived from preliminary estimation of signal sub-space. The proposed method accurately estimates the number of signals especially in severe environments where AIC and MDL methods can hardly estimate.
Keywords :
4G mobile communication; MIMO systems; adaptive antenna arrays; array signal processing; direction-of-arrival estimation; eigenvalues and eigenfunctions; mobile radio; radiowave propagation; signal detection; 4G network; 4th generation mobile communication system; AIC method; MDL method; MIMO technique; antenna array; detector; incident wave; information theory; multidirectional communication; number of arrival signal; propagation environment; smart antenna; subspace orthogonality; Ambient intelligence; Antenna arrays; Antennas and propagation; Computational efficiency; Covariance matrix; Detectors; Direction of arrival estimation; MIMO; Multiple signal classification; Space technology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Advances in Wireless Communications, 2005 IEEE 6th Workshop on
Print_ISBN :
0-7803-8867-4
Type :
conf
DOI :
10.1109/SPAWC.2005.1506258
Filename :
1506258
Link To Document :
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