What is it about?

In this paper, the projection depth function, inherited from robust statistics , is employed to form a robust test statistic for NHD that does not necessitate the estimation of the covariance matrix. In this regard, the proposed test statistic provide robust performance under different operation conditions and clutter distributions compared to the most robust detector used for phased array radars in the literature. Equivalently important, the proposed detector is more computationally efficient that its counterparts.

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Why is it important?

The results of this paper show that we can obtain the robust performance of a robust NHD under different clutter distributions, yet with much less computational cost than the robust detectors in the literature. Another important feature of the proposed detector is its non-parametric characteristic, that is, it does not need to have prior knowledge or any assumptions about the clutter.


We have written this paper with practical perspective in mind. This means that the paper introduces a method that has significant merits for real-time application in radar systems.

Ahmed Abouelfadl
McGill University

Read the Original

This page is a summary of: Covariance-Free Nonhomogeneity STAP Detector in Compound Gaussian Clutter Based on Robust Statistics, IET Radar Sonar & Navigation, August 2019, the Institution of Engineering and Technology (the IET), DOI: 10.1049/iet-rsn.2019.0201.
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