Semi-Data-Aided Frequency Estimation Algorithm for BPSK Burst Transmissions

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.