Minimum variance time-frequency distribution kernels for signals in additive noise

We derive the minimum variance time-frequency distribution kernel for signals in additive circular complex Gaussian white noise processes. It is shown that the kernel that minimizes the average variance and simultaneously satisfies the time-frequency constraints for the noise-only ease remains optimum in the presence of frequency-modulated (FM) signals.