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

机译:一种基于TFR和Viterbi算法检测机动目标的算法

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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(TFR)和维特比算法(VA)的雷达信号检测方法算法。考虑了两种TFR方法,短时傅里叶变换(STFT)和S-方法(SM)。在单个制造目标的实际雷达信号上研究了所提出的算法的性能和检测能力,该磁噪声信号增加了高斯噪声和从-15dB到-2 dB的信噪比。结果表明,即使在非常低的SNR值中,所提出的算法也运行良好。

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