An iterative ML-based carrier frequency estimation algorithm

被引：0
|
作者：
Luo Wu [1 ]
Liu An [1 ]
Bin Liu [1 ]
机构：
[1] Peking Univ, Sch EECS, Beijing 100871, Peoples R China
来源：
2006 10TH INTERNATIONAL CONFERENCE ON COMMUNICATION TECHNOLOGY, VOLS 1 AND 2, PROCEEDINGS | 2006年
关键词：
D O I：
暂无
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
We propose an iterative data-aided algorithm based on maximum likelihood criteria for carrier frequency estimation in burst-mode phase shift keying (PSK) transmission. The proposed algorithm has a low threshold and its estimation range is large, about +/- 40% of the symbol rate. In addition, its accuracy is close to the Cramer-Rao bound (CRB) at signal-to-noise ratio (SNR) above threshold. The performance of the proposed algorithm is better and its computational complexity is also lower compared with previous ML-based algorithms.
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页码：1192 / +
页数：2
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