修正的混响多普勒扩展非对称统计模型
Modified asymmetric statistical model for the reverberation Doppler spread spectrum
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摘要: 运动声源探测低速目标时,混响谱呈现的非对称性导致正负速度目标的回波具有不同的信混比,需要准确估计双边谱的扩展程度来分别设计检测策略,而传统的对称模型不能描述这种非对称性。基于双边指数分布对称模型,修正的非对称统计模型可用来描述由平台运动、海面运动等引起的混响谱非对称扩展现象。文中推导了非对称模型的数学表达式,并阐述了模型各参数的物理意义。运动声呐平台的湖试实验分析结果验证了该模型对平台在不同速度运动时引起的非对称混响谱都有较高的拟合度,证明混响谱负向多普勒扩展程度随平台运动速度提高而加剧,且非对称模型参数具有量化描述混响谱非对称扩展程度的能力。Abstract: When detecting low-speed target by using mobile sonar platform, the asymmetric reverberation spectrum results in different SRR (Signal Reverberation Ratio) of the positive and negative speed target. Thus, the detection methods have to be separately designed on the two-side reverberation spectrum. However, the asymmetric reverberation spectrum cannot be well described by the traditional symmetric statistical model. Based on two-side exponential symmetric model, the modified asymmetric model is proposed to describe the asymmetric spectrum which might be caused by the motion of platform or moving water surface. The mathematical description of the model is derived, and the physical meaning of each parameter is illustrated. The model is proved by lake experiments to be well fitted to the asymmetric spread spectrum at different speeds of sonar platform. The negative Doppler spread degree is proved aggravated as the platform velocity increases. What's more, the asymmetric model has the capacity of quantitatively describing the Doppler spread degrees of both-side reverberation spectrum.