A new frequency estimator applied to burst transmission

In TDMA communications systems using all feedforward synchronization techniques, the quality of data decoding strictly depends on the estimation accuracy of the synchronization parameters (timing, carrier phase/frequency and preamble detection) extracted from the received signal. The frequency offset estimation is the most critical point. Indeed, an inaccurate frequency estimation can cause cycle slips and then errors during decoding. In this paper, we propose an new frequency estimator, analytically derived from the maximum likelihood principle and optimized thanks to variance simulations. Its performance is compared to the Cramer Rao bound.