An Improved Nonparametric Detector for Non-homogeneous Clutter Environment

The Variability Index Modified Rank Squared (VI-MRS) nonparametric detector is introduced in this article. Depending on whether the background environment is homogeneous or not, VI-MRS can select Modified Rank Squared CFAR (MRS-CFAR), Greatest of Modified Rank Squared CFAR (GO-MRS-CFAR), or Trimmed Modified Rank Squared CFAR (TMRS-CFAR) to compute the threshold adaptively. The performance of the proposed detector is analyzed under the Swerling II target model in homogeneous and non-homogeneous environment by Monte-Carlo simulation. The results show that the proposed detection algorithm has better performance compared with Generalized Sign (GS) and Modified Rank Squared (MRS) detector.