Range-Spread Target Adaptive Detector for Non-Gaussian Clutter

摘要

This paper addresses range-spread target detection in non-Gaussian clutter modeled as spherically invariant random vector clutter (SIRV). A adaptive modified scatterer density dependent (AMSDD) detector based on clutter power is addressed for the problem that MSDD has detection loss when falsely estimating the number of scatterers. Firstly, it estimates the scatterers by the power of clutter. Then, the returns of target scatterers are used to compare with the threshold to determine whether the target is exist or not. Compare with the MSDD and the NSDD, the AMSDD, adaptively estimates the number of target scatterers according to the observations, which can improve performance and robustness of detector effectively.