Adaptive Detection of Rician Targets

2023/01/05 by Olivier Besson
Engineering · #Radar Systems and Signal Processing #Advanced SAR Imaging Techniques #Microwave Imaging and Scattering Analysis

paper · doi:10.1109/taes.2023.3234454

Abstract

We address the problem of detecting a signal of interest in Gaussian noise with an unknown covariance matrix, when the amplitude of the signal fluctuates along the observations and follows a Rice distribution. This is typical of a target that consists of one large dominant scatterer and a collection of small independent scatterers. We formulate it as a composite hypothesis testing problem, for which we derive the generalized likelihood ratio test, and show that it ensures a constant false alarm rate. Numerical simulations enable to assess its performance for Rician as well as Swerling I and III targets. It is shown that the new detector incurs no loss for Swerling targets but can offer a significant improvement for Rician targets, especially when the number of training samples is small.

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