A new method is studied and designed in this paper to strengthen the adaptability and practicability of frequency-hopping (FH) signal detection under the complicated electromagnetic environment. The proposed method includes four processing algorithms: channelization, estimation of the background noise, selection of the FH channel, and FH signal detection. Through this method, FH signals can be effectively detected under the complicated environment even with strong interference. The simulation and results suggest this method improves the accuracy of FH signal detection and signal-to-noise ratio greatly.
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