Maximum likelihood estimation for signal parameters using pseudo-Wigner distribution

In this paper a novel method for identifying unknown parameters associated with the received signals which are corrupted by random noise is established. Our key approach is to construct a likelihood(-ratio) function for the time-frequency random field generated by the pseudo-Wigner distribution. Numerical simulations are presented to verify the efficacy of the proposed method.