ML-based joint timing estimation algorithm for co-frequency signals
Zhu Zhong-liang · Systems engineering and electronics · 2010
A maximum-likelihood(ML) based algorithm for joint timing estimation of both useful signal and co-channel interference is proposed.The likelihood function is first derived,and then the timings of two signals are identified in the two-dimensional timing space by using a scale searching method.Compared with the traditional algorithm for single-signal timing estimation,the proposed algorithm requires more observation data.The algorithm is little sensitive to frequency offsets and shows small performance attenuations for a frequency shift of 2% of the symbol rate.The simulation results verify the effectiveness of the proposed algorithm.