High performance estimation algorithm for PSK frequency recovery

In this paper, a novel algorithm for carrier frequency estimation is described, whose basic principle is to exploit an iterative mechanism to refine the estimate by progressively reduce the noise subspace. This is accomplished by means of an external denoising system, fed by the master estimation algorithm, in order to feed the basic estimation block with enhanced data at next iteration. In this paper, a well known algorithm for carrier frequency estimation, the Luise and Reggiannini scheme, is used as a master estimator within an iterative scheme, and a proper external denoising system is designed. The obtained results show that the scheme outperforms the master estimator as for both the threshold level and the estimation range, with comparable computational complexity.