Doppler Migration Estimation for a Complex Moving Target in Low Signal to Noise Ratio Environment

Abstract

This paper presents a Doppler migration estimation technique for a complex moving target in post detection integration (PDI). The technique is based on dynamic programming with a likelihood ratio (LR) based score function. Since a target signal and noise statistic are unknown, they are estimated and then substituted into LR. Especially for the signal estimation, maximum a posteriori estimator in conjunction with the proposed migration model is applied. In order to investigate the estimation performance, a numerical simulation is carried out. From the results, the estimation works well though the migration is hard to be identified in low signal to noise ratio environment and PDI with the proposed estimation technique has a capability of the target detection.