Automatic threshold decision using maximum mismatched correlation value for direct sequence code aquisition

This project work is done on automatic threshold decision using a maximum mismatched correlation (MMC) value in a direct sequence spread spectrum (DS-SS) serial acquisition system. For received spread spectrum with varying signal-to-noise ratios (SNRs), this MMC scheme is able to detect a desired th...

全面介紹

Saved in:
書目詳細資料
主要作者: Natarajan Pasupathy Prasad
其他作者: Li, Kwok Hung
格式: Theses and Dissertations
語言:English
出版: 2008
主題:
在線閱讀:http://hdl.handle.net/10356/13239
標簽: 添加標簽
沒有標簽, 成為第一個標記此記錄!
機構: Nanyang Technological University
語言: English
實物特徵
總結:This project work is done on automatic threshold decision using a maximum mismatched correlation (MMC) value in a direct sequence spread spectrum (DS-SS) serial acquisition system. For received spread spectrum with varying signal-to-noise ratios (SNRs), this MMC scheme is able to detect a desired threshold value in the search mode, i.e. a maximum mismatched correlation value, which is utilized as a threshold for the verification mode. Thus, there is no need to determine a threshold by applying the conventional Neyman-Pearson criterion. The proposed acquisition scheme is compared to the acquisition scheme based upon the Neyman-Pearson criterion, and a significant improvement of performance is shown. Analysis of system performance in both the search and verification modes are presented, and key quantities such as the false alarm probability (F AP) and detection probability (DP) are derived.