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Dechirping of multicomponent chirp signal based on time-space decomposition and H∞ filter

机译:基于时空分解和H∞滤波器的多分量线性调频信号的去噪

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摘要

In time-space domain, the multicomponent chirp signal is decomposed into several monocomponent chirp signals. Based on H∞ filter, dechirping for the monocomponent chirp signal is achieved. When data length of the multicomponent chirp signal is short and SNR is low, this approach is applicable. It is insensitive to the exact knowledge of the statistics of the unknown disturbance and noise. Simulation results are presented to show the validity of the approach.
机译:在时空域中,多分量线性调频信号被分解成几个单分量线性调频信号。基于H∞滤波器,实现了单分量线性调频信号的去毛刺。当多分量线性调频信号的数据长度短而SNR低时,此方法适用。它对未知干扰和噪声统计信息的确切知识不敏感。仿真结果表明了该方法的有效性。

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