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生物声纳的高灵敏度和高可靠性一直是仿生设计所追求的目标,然而至今仍没有一个令人信服的物理模型能很好得解释生物声纳优越性能的原因,其主要是缺乏对动物听觉系统神经信息编码的认识.本文从蝙蝠听觉神经系统的生理结构出发,用圆映射和符号动力学方法讨论了蝙蝠听觉神经系统在复杂环境中处理多普勒信号的一种可能性方案,并通过计算机仿真证明了其合理性.针对蝙蝠神经系统的不稳定性,用符号动力学的方法分析神经系统信息处理的机理具有良好的鲁棒性和高灵敏度.这种新的信号处理方法的研究,为生物声纳信号的处理过程的进一步认识提供了一种新的解释.
The high sensitivity and high reliability of bio-sonar has always been the goal of biomimicry design. However, there is not yet a convincing physical model that can well explain the superior performance of bio-sonar. The main reason is the lack of animal hearing System neural information coding.This paper starts from the physiological structure of the auditory and auditory nervous system of the bat, and discusses a possible solution to deal with the Doppler signal of the bat auditory nervous system in a complex environment by round mapping and symbolic dynamics. Computer simulation proves its rationality.Aiming at the instability of bat nervous system, the mechanism of neural system information processing using symbolic dynamics has good robustness and high sensitivity.This new method of signal processing, It provides a new explanation for the further understanding of the processing of biological sonar signals.