Title: Cognitive Method for Knowledge Aided Detection in Non-Gaussian Clutter
Abstract: Prior information can be used to improve detection performance for knowledge aided detectors,but the detection performance may be affected by the mismatches between the prior information and current clutter environment. In this paper,the knowledge aided detector for compound Gaussian clutter with inverse gamma distribution texture is considered,and the formula of false alarm rate and probability of detection for Swerling I target of the detector are derived with prior model mismatches( mismatched parameters of inverse gamma distribution). The quantitative relationship between detection performance and mismatched prior model is obtained. Using two detectors with different parameters for the current clutter environment and assessing the detection performance,the parameters of current clutter environment can be estimated. The results of computer simulation and live data analysis show that,the knowledge aided detector with cognitive method can achieve better detection performance than conventional detectors.
Publication Year: 2014
Publication Date: 2014-01-01
Language: en
Type: article
Access and Citation
Cited By Count: 1
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot