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Frequency Hopping Spread Spectrum (FHSS) communication is widely used, especially in the field of military communication, because of its better ability in anti-interference and net-working, so reconnaissance and jamming signals of FHSS system are considered as important contents in communication counter measures.As a powerful analysis tool of non-stationary signal, time-frequency domain analysis can depict the energy density or/and intensity in time and frequency domain simultaneously, so it is very useful in the analysis of FHSS signal. In this dissertation, based on the estimation of the parameters of FHSS signal by utilizing Smooth Pseudo Wigner-Ville Distribution (SPWVD), the author uses sliding window method and adaptive threshold detection to determine the hopping time of FHSS signal, which is estimated by making use of correlation function, and the author also gives a computer simulation of FHSS signal parameters estimation. By imposing noise jamming, swept jamming, follower jamming on the FHSS system separately, the author gets the curve of jamming-signal ratio (JSR) to error rate, and achieves the evaluation result of jamming performance through the Monte-Carlo simulation.
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