Novel non-homogeneity detector (NHD) for phased array radar under Gaussian and non-Gaussian clutter

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.

Featured Image

Photo by Kelvin Yan on Unsplash

Photo by Kelvin Yan on Unsplash

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.

Perspectives