Doppler Frequency Estimation Based on Time Diversity of Random Processes in Doubly-Selective Channels

This work introduces a new method to estimate Doppler frequency which carries important characteristics feature of time-variant multipath fading channels. The proposed method employs the time diversity (TD) of general random processes with rich correlation characteristics introduced by various time intervals, where a maximum-likelihood (ML) algorithm is utilized. A closed-form weighted least-square equation is derived with the help of basis expansion approximation. In addition, the Cram $\acute{\text{e}}$ r-Rao lower bound (CRLB) of the estimation is analyzed. The results show that the proposed method performs well in terms of Doppler frequency estimation accuracy.

Automated summary

This paper introduces a new method for estimating the Doppler frequency in time-variant multipath fading channels. The method utilizes the time diversity of random processes with various time intervals and employs a maximum-likelihood algorithm. A closed-form weighted least-square equation is derived, and the Cramér-Rao lower bound of the estimation is analyzed. The results demonstrate good performance of the proposed method in terms of Doppler frequency estimation accuracy.