Delay-Doppler radar tracking using moments

In this paper, we propose a new blind approach for joint time delay and Doppler estimation. The delay and Doppler have been imposed onto a signal modeled as a Gaussian mixture contaminated by a non-Gaussian and non-stationary noise. The estimation is done using the moments of received signal. This procedure provides lower complexity and more accuracy relative to other rival methods such as Wigner-Ville (WV) and wavelet transform. In this method, the noise power is assumed unknown and estimated as well. Then, the proposed delay and Doppler estimation is used for radar tracking. Based on the estimated delay and Doppler, we track the position and velocity of the target. We compare the new approach against extended Kalman filter and particle filter tracker.