A Novel Algorithm for Estimation of Sinusoid Frequency Based on Argument of Sample Autocorrelation Function
Huang Cha · Telecommunication Engineering · 2014
A new carrier frequency estimation algorithm based on the argument of the sample autocorrelation function in additive white Gaussian noise( AWGN) is proposed. Firstly,a formula for frequency estimation based on the argument of the sample autocorrelation function is derived. Secondly,a phase ambiguity removal method for solving the contradiction problems between estimation range and estimation accuracy. Algorithm analysis and simulation results show the estimation variance of the proposed algorithm is close to the Cramer-Rao low bound( CRLB) when the signal-to-noise ratio( SNR) is higher than 6 dB and the calculation amount is smaller under the same estimation variance compared with the TSA algorithm and also easy for engineering realization.