一种基于FFT特征提取定位算法的甚低频仿生水下主动电场定位系统

主动电场定位的思想源自仿生学研究。生物学研究者发现,在没有光线的情况下,弱电鱼能通过感应自身发射电场的变化信息来捕获食物并导航,这种利用自身发射和接收电场来探测、识别、定位物体的能力被称为主动电场定位识别。在建立水下主动电场定位试验平台后,为实现该平台的水下电场定位,在该平台上对甚低频(10 Hz)电场激励下不同水体环境下不同电学特性物体的定位特性进行试验研究;随后,在总结上述特性研究的基础上,提出基于FFT特征提取的水下主动电场定位算法并在该试验平台上实现在不同水体环境中对不同性质物体的精确定位试验。成功提出一种基于FFT特征提取定位算法的甚低频水下主动电场定位原型机,该原型机证明了该方案的水下主动电场定位的可行性和有效性,为该技术为进一步工程应用和相关特性研究提供基础。

A Biomimetic Very Low Frequency(VLF) Active Electrolocation System Based on FFT Feature Extraction Localization Algorithm

The idea of active electrolocation comes from biomimetic research. The weakly electric fish, which was found by biological researchers, could hunt and navigate without visual cues by sensing perturbations of a self-generated electric field. The ability to detect, characterize and locate objects using self-generated electric fields is called active electrolocation. An active underwater electrolocation experimental platform has been designed. In order to realize the automatic locating purpose by this platform, the experimental characteristics of the active underwater electrolocation system for different objects in different water environment in very low frequency(VLF)inspiriting electric filed were researched. A localization algorithm base on FFT for the active underwater electrolocalization is designed. Based on this platform and the localization algorithm, the precise localization of underwater objects with different materials in water environment with different electrical conductivity was realized. A prototype of VLF active underwater electrolocalization base on FFT method is developed. The feasibility and effectiveness of the active underwater electrolocalization system by our method have been validated by this prototype. It provides a technology foundation of the further engineering application and the following related research for the active underwater electrolocation system.