Semi-Blind Zero-Forcing Equalization Based onMMSE by Using Alamouti Coder

• Main Authors: SHENG-JIE WENG, 翁聖傑
• Other Authors: Yuh-Hu Chang
• Format: Others
• Language: zh-TW
• Published: 2009
• Online Access: http://ndltd.ncl.edu.tw/handle/76382897561958636689

碩士 === 中原大學 === 電子工程研究所 === 97 === In actual wireless communication environment, Intersymbol interference may lead to high error rates during symbol detection. To improve signal transmission reliable, receiver must to remove ISI. In order to overcome the effect of ISI, our algorithm is based on second-order statistics between transmission symbol and receiver. In this paper, we derive a new algorithm for semi-blind equalization based on minimum mean square error and zero-forcing criterion. Minimizing the mean square error based on the different delay equalizer’s output. All possible delay zero-forcing equalizers can be computed without channel estimation. Otherwise, we know about feature of STBC. When antennas is increased, new method will be better on performance.