Title :
A proposal of blind identification algorithm based on TLS
Author :
Matsumoto, Hiroki ; Komatsu, Minoru ; Furukawa, Toshihiro
Author_Institution :
Maebashi Inst. of Technol., Maebashi, Japan
Abstract :
The over-sampling method is used for one of the blind channel estimation method. The estimation performance is high performance if it is not added noise to received signals as input signals into the estimation filter. But if it is added noise to input signals, the estimation performance is lower. Because, generally, LMS algorithm etc. are used for this method, and these algorithms are not effective for the input signals including the noise. Therefore, in this paper, we apply TLS algorithm to the blind channel estimation method based on over-sampling because TLS algorithm is effective for the input signals including the noise. The proposed algorithm works very well compared with the conventional method using LMS algorithm by computer simulation.
Keywords :
channel estimation; filtering theory; noise; signal sampling; TLS algorithm; blind channel estimation; blind identification algorithm; estimation filter; estimation parformance; over sampling method; Adaptation model; Annealing; Noise;
Conference_Titel :
Intelligent Signal Processing and Communication Systems (ISPACS), 2010 International Symposium on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-7369-4
DOI :
10.1109/ISPACS.2010.5704645