Abstract:

A merging parameters estimation and identification algorithm for short cyclic prefix orthogonal frequency division multiplexing (OFDM) signals is presented based on cost function. Merging estimation of the useful symbol time and symbol duration for OFDM signals can be realized with the algorithm by using the autocorrelation and the cyclic autocorrelation simultaneously, which are generated by the cyclic prefix of OFDM signals. Firstly the characteristic of cyclic autocorrelation for OFDM signals is deeply analyzed. 〖JP2〗Then a cost function is constructed, and the effects of the cost function by introducing the number of the cycle frequency are discussed in the timevarying fading channels. Finally, the validity of the algorithm is proved by simulations.