REDUCTION OF NOISE ALIASING BY USINGGENERALIZED UNIFORM BANDPASS SAMPLINGTECHNIQUE

• Main Authors: Jun-yu Zhuang, 莊鈞宇
• Other Authors: Jie-cherng Liu
• Format: Others
• Language: zh-TW
• Published: 2009
• Online Access: http://ndltd.ncl.edu.tw/handle/49910284572866310185

碩士 === 大同大學 === 通訊工程研究所 === 97 === The kernel concept of the software defined radio (SDR) is to annul the mixers and to place analog-to-digital converters as near the antenna as possible. The reason why is that we can implement the most SDR functionality to a programmable micro or signal processor. Bandpass sampling is a helpful method for direct digital downconversion without mixers. The thermal noise introduced by sampling circuit, is caused aliasing in sampling process. Thereby the noise increased and the signal-to-noise ratio of bandpass sampling system degenerated. In this thesis, to eliminate noise aliasing, generalized quadrature bandpass sampling with FIR filtering extend to generalized uniform bandpass sampling with FIR filtering. And the signal-to-noise ratio of bandpass sampling system improved.