Considering the phase ambiguity problem of frequency offset estimation existed in the short-burst communication

this paper proposes a wide-range low-complexity time-domain correlation frequency offset estimation algorithm-phase-unwrapping based partial cross-correlation algorithm. This algorithm uses the idea of the autocorrelation algorithm and knowledge of the algebra to eliminate its complex multiplication operation

and then utilizes a Monte-Carlo simulation based phase-unwrapping algorithm to solve the problem of phase ambiguity

thus suitable for the short burst communication environment with large frequency offsets. Simulation results show that when maintaining large estimation range

the proposed algorithm also exhibits both higher accuracy and lower complexity than the classical MM

AC

and Giugno algorithms

thus suitable for low-latency high-reliability short packet transmission.