Research on detection performance of passive detection system based on troposcatter

Electromagnetic (EM) wave propagated via troposcatter is a valuable candidate for beyond line-of-sight (b-LoS) detection. In this paper, the probability of detection is firstly analyzed. Aiming at acquiring signal-to-noise ratio (SNR), we present two approaches including statistical model and time-varying model. Hopfield model is employed to establish the relationship between SNR and time-varying meteorological parameters. Simulations demonstrate the availability of above models. Finally, a cognitive system is introduced to improve the performance of passive detection system. The uncontrollable factors including meteorological parameters, elevation angle and frequency of EM wave are firstly studied, and then the controllable parameters will be regulated on the basis of conclusions deduced in this paper.