Multi-object Bayesian filters with amplitude information in clutter background

In many radar or sonar tracking applications, the amplitude information (AI) is known to improve data association and target state estimation in most of multi-object filters. However, when considering targets in noisy backgrounds, existing multi-object filters rely on a number of assumptions, relating to the uniformity of the spatial distribution of the clutter and amplitude distribution of the clutter being Rayleigh. These assumptions are …