Performance Analysis of Radar CFAR Detectors in Presence of Noise and Smart Denial Jamming Techniques

摘要

Modern radar systems use many radar signal processing techniques to enhance their detection. One of these modern radars is the linear frequency modulation pulse compression (LFM-PC) radar. The LFM-PC radars have great processing gain because of using pulse compression (PC) property, which leads to elevating the immunity of the radar against traditional noise jamming techniques. Recently interrupted sampling jamming technique (ISJT) has been proposed with aim of confusing the radar with multiple false targets. In the presented paper, we reintroduce the ISJT as a denial jamming technique in which the jammer aims at deny the radar detection for the true target. in this sequel, some modifications have to be made, and the analysis need to go farther than the matched filter to the constant false alarm rate (CFAR) detectors, in particular two versions of the CFAR detectors, cell averaging CFAR (CA-CFAR), and greatest of CFAR (GO-CFAR). The jamming parameters effects, and also the importance of an artificial delay in the jamming signal to avoid the strengthening of the true target echo are discussed. A complete LFM-PC search radar model is used in the evaluation to validate the superiority of using the proposed modification of the ISJT over recent benchmarks in the literature through Monte Carlo simulations.