Closed‐form expressions and statistical analysis of constant false alarm rate detection in multiple false target jamming condition

Abstract

Abstract Multiple false target jamming is an effective electronic attack measurement that will deteriorate the detection performance of radar constant false alarm rate (CFAR) detector, but its effects lack sufficient exploration. To solve the problem, an upgraded Bernoulli experiment model (BEM) is established and deduced using direct integral method. Given the number of jamming pulses in different cells, the detection performance can be obtained analytically. BEM can provide a meaningful physical view of CFAR from energy perspective, unveiling the mechanism how jamming deteriorate CFAR performance. Real multiple false target jamming is an extension of BEM where pulses are randomly located. This can be solved by integrating the distribution of jamming pulses into BEM which is named as statistical model (SM). Numerical examples validate that BEM and SM are more accurate and thousands of times faster than Monte‐Carlo results. Influential parameters are discussed and some valuable suggestions for radar counter‐countermeasurement are obtained.

Keywords

• constant false alarm rate (CFAR)
• multiple false target jamming
• radar detector
• statistical analysis