Modelling and Analysis of Constant False Alarm Rate Performance in Presence of Jamming Environments

Xiaozhou Chen, Mengzhong Hu, Shu Lu and Raffaele Solimene

Mathematical Problems in Engineering, 2022, vol. 2022, 1-11

Abstract: A novel “Bernoulli experiment model†of constant false alarm rate (CFAR) is presented in order to analyze CFAR performance in jamming condition. In this model, target detection can be treated as a sequence of independent subevents, and the detection process equals to pick up target energy from an energy pool diluted with noise, interference, and jamming pulses. In a multiple-jammer case, each jammer contributes independently, and the content of the energy pool only relates to the corresponding jammer. Impacts of jammer factors, such as signal-to-interference ratio (SIR), jamming-to-interference ratio (JIR), the number of false targets in reference cells, and the number of false targets in a cell under test (CUT), are analyzed and compared in detail, and two jamming operation principles are deduced as an application. The deduction procedure and conclusions drawn from the model can also be utilized on similar occasions.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:3780252

DOI: 10.1155/2022/3780252

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