DocumentCode :
705913
Title :
A spectral clustering algorithm for decoding fast time-varying BPSK mimo channels
Author :
Van Vaerenbergh, Steven ; Estebanez, Emilio ; Santamaria, Ignacio
Author_Institution :
Dept. of Commun. Eng., Univ. of Cantabria, Santander, Spain
fYear :
2007
fDate :
3-7 Sept. 2007
Firstpage :
479
Lastpage :
483
Abstract :
Clustering techniques for equalization have been proposed by a number of authors in the last decade. However, most of these approaches focus only on time-invariant single-input single-output (SISO) channels. In this paper we consider the case of fast time-varying multiple-input multiple-output (MIMO) channels. The varying nature of the mixing matrix poses new problems that cannot be solved by conventional clustering techniques. By introducing the time scale into the clustering process we are able to untangle the clusters, which in this way behave like intertwined threads. Then, a spectral clustering algorithm is applied. Finally, the identified clusters are assigned to the transmitted symbols using only a few pilots. The geometry of the transmitted constellation is exploited within the spectral clustering algorithm in order to reduce the number of clusters. As shown in the paper, the proposed procedure saves a considerable amount of pilot symbols in comparison to other recently proposed techniques.
Keywords :
MIMO communication; channel coding; matrix algebra; pattern clustering; phase shift keying; spectral analysis; time-varying channels; identified cluster assignment; mixing matrix; multiple input multiple output; spectral clustering algorithm; time scale; time-varying BPSK MIMO channel decoding; transmitted constellation geometry; transmitted symbol; Binary phase shift keying; Bit error rate; Clustering algorithms; MIMO; Receivers; Signal processing algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Conference, 2007 15th European
Conference_Location :
Poznan
Print_ISBN :
978-839-2134-04-6
Type :
conf
Filename :
7098849
Link To Document :
بازگشت