Title :
Semi-Data-Aided Frequency Estimation Algorithm for BPSK Burst Transmissions
Author :
Yunpeng, Hu ; Hongyi, Yu ; Hanying, Hu
Author_Institution :
Zhengzhou Inf. Sci. & Technol. Inst., Zhengzhou
Abstract :
This paper deals with frequency estimation for burst- mode 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.
Keywords :
AWGN channels; frequency estimation; maximum likelihood estimation; phase shift keying; AWGN channel; CRLB; binary phase shift keying; burst-mode transmission; maximum likelihood frequency estimation algorithm; pilot symbol; semi-data-aided frequency estimation algorithm; signal-to-noise ratio; AWGN channels; Binary phase shift keying; Frequency estimation; Information science; Maximum likelihood estimation; Neodymium; Phase estimation; Phase shift keying; Signal to noise ratio; Time division multiple access; Binary phase-shift keying (BPSK); Burst transmission; frequency estimation; maximum likelihood estimation; semi-data-aided;
Conference_Titel :
Communications and Networking in China, 2007. CHINACOM '07. Second International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-1009-5
Electronic_ISBN :
978-1-4244-1009-5
DOI :
10.1109/CHINACOM.2007.4469477
