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.