Comparison of two equalizers based on eigen-value decomposition

• Main Authors: Wei-Yu Chen, 陳威宇
• Other Authors: Yuh-Huu Chang
• Format: Others
• Language: zh-TW
• Published: 2005
• Online Access: http://ndltd.ncl.edu.tw/handle/sn8smw

碩士 === 中原大學 === 電子工程研究所 === 93 === In communication system, blind channel identification and equalization method become more and more important, several innovative methods are published in the recent years. In this paper, a whitening matrix is formed by eigen-vectors and eigen-values of the autocorrelation matrix of received signals, and a transformed received vector is followed by multiplying the whitening matrix and the received signals. Under the zero-forcing condition, we can get the specific relations between all of different time-delay equalizers by analyzing the transformed received vectors. Recombining these specific relation vectors into a new transformed received matrix, it is proved that there exists an unique null eigen-vector in the matrix. We are able to be solved the transformed received matrix by singular value decomposition. Therefore, all possible delay equalizers can be computed simultaneously.