Target detection of high-resolution radar in non-Gaussian clutter

Abstract

The high-resolution radar echo is modeled as a range-spread target. Based on the generalized likelihood ratio test design procedure, the range-spread target detection in spherically invariant random vector clutter is addressed. And a binary integrator with constant false alarm rate property is proposed to detect the whole range-spread target, after single target scatterer detection in each range cell. Finally, the performance assessment shows that, the detection performance is improved as the number of sensors used or the clutter spike increases, while it is robust to the clutter correlation.