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An algorithm for detecting a maneuvering target based on TFR and Viterbi algorithm

机译:基于TFR和Viterbi算法的机动目标检测算法

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摘要

An algorithm for radar signal detection method based on a time-frequency representation (TFR) and Viterbi algorithm (VA) is proposed. Two TFR methods are considered, Short-time Fourier Transform (STFT) and S-method (SM). Performance and detection ability of the proposed algorithm was investigated on real radar signals of a single manuvering target with added Gaussian noise and signal-to-noise ratio from −15 dB to −2 dB. The results show that the proposed algorithm works well even in very low SNR values.
机译:提出了一种基于时频表示和维特比算法的雷达信号检测算法。考虑了两种TFR方法:短时傅立叶变换(STFT)和S方法(SM)。研究了该算法在单个机动目标的真实雷达信号上的性能和检测能力,该目标具有增加的高斯噪声和-15 dB至-2 dB的信噪比。结果表明,所提出的算法即使在非常低的SNR值下也能很好地工作。

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