【作者】 谢志敏； 曹泽超； 韩鹏；

【Author】 XIE Zhimin;CAO Zechao;HAN Peng;Military Ocean Environment Construction Office;Harbin Engineering University;School of Marine Science and Technology, Northwestern Polytechnical University;

【机构】 军事海洋环境建设办公室； 哈尔滨工程大学； 西北工业大学航海学院；

【摘要】 针对舰船目标调制特性提取这一难点,提出了一种基于经验模态分解算法的调制特性提取方法。通过利用经验模态分解算法自适应地将信号分解为不同频段,以各信号分量的包络熵值筛选出待检测频段,并运用能量算子解调以及1(1/2)维谱有效提高了舰船目标调制谱的信噪比。经仿真验证该方法能够有效提取舰船目标的调制特征,可为准确识别分类敌方舰船提供基础信息。更多还原

【Abstract】 Aiming at the difficulty of ship modulation characteristics extraction, a modulation characteristics extraction method based on EMD algorithm is proposed. The signal is decomposed into different frequency bands adaptively by EMD, and the detection frequency band is screened by the envelope entropy of each signal component.The signal-to-noise ratio of ship modulation spectrum is improved effectively by using energy operator demodulation and 1(1/2)D spectrum. Simulation results show that this method can extract the modulation characteristics of ship target effectively and provide basic information for accurately identifying and classifying enemy ships.更多还原