Research Article
Semi-Data-Aided Frequency Estimation Algorithm for BPSK Burst Transmissions
@INPROCEEDINGS{10.1109/CHINACOM.2007.4469477, author={Hu yunpeng and Yu Hongyi and Hu Hanying}, title={Semi-Data-Aided Frequency Estimation Algorithm for BPSK Burst Transmissions}, proceedings={2nd International ICST Conference on Communications and Networking in China}, publisher={IEEE}, proceedings_a={CHINACOM}, year={2008}, month={3}, keywords={Binary phase-shift keying (BPSK) Burst transmission frequency estimation maximum likelihood estimation semi-data-aided}, doi={10.1109/CHINACOM.2007.4469477} }- Hu yunpeng
Yu Hongyi
Hu Hanying
Year: 2008
Semi-Data-Aided Frequency Estimation Algorithm for BPSK Burst Transmissions
CHINACOM
IEEE
DOI: 10.1109/CHINACOM.2007.4469477
Abstract
This paper deals with frequency estimation for burstmode transmissions in AWGN channel. A semi-data-aided (SDA) maximum likelihood frequency estimation algorithm is derived. According to the algorithm, known pilot symbols and unknown data symbols are used together in order that both estimation accuracy and spectral efficiency can be satisfied. The simulations show that the good performance reaching the CRLB of a large number of pilot symbols can be obtained at moderately high signal-to-noise ratios even when fewer pilot symbols are used.
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