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Frequency Hopping Signal Identification Using Time-Frequency Transforms

以時間-頻率轉換理論識別跳頻訊號

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摘要


本文乃針對事先未知跳頻頻率位置且含有加成性白色高斯雜訊的跳頻通訊訊號,提出一套有效之時間-頻率轉換演算法,以識別跳頻訊號的參數。待識別之跳頻訊號參數包括跳躍頻率、跳躍率及跳躍時序等。所提出的方法乃是基於將截收的跳頻訊號表示為時間-頻率分佈,進而識別跳頻訊號參數。依據本文所提出之時間-頻率轉換演算法,進行計算複雜度與模擬分析,評估在不同之訊號雜訊比下之均方根誤差,模擬結果顯示,本文所提之演算法可有效提升識別準確度。

並列摘要


Under the circumstance of lack the knowledge of hopping frequency location, a time-frequency transform algorithm for identifying the parameters of frequency hopping communication signals in additive white Gaussian noise is proposed in this paper. The signal parameters to be identified include hopping frequencies, hopping rate, and hopping sequence. The proposed method is based on the time-frequency representation of the intercept signal to identify the parameters of the frequency hopping signals. Then, the computational complexity and simulation results of the proposed algorithm are presented to evaluate the performances which are given in terms of the root mean square error.

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