The Effect of Object Geometric Features on Frequency Inflection Point of Underwater Active Electrolocation System

Biologists have discovered a kind of weakly electric fish that identifies its prey by using active electrolocation in virtual darkness. In this study, we built an underwater system platform designed to investigate the biological mechanism allowing these distinguish objects and determine how amplitude information-frequency characteristic (AIFC) response are affected geometric characteristics target system. We used single-frequency sinusoidal signal scan metal different orientations observed information variation disturbed detection signal. The frequency dead zone (DFDZ) inflection point (FIP) were characterize variation. addition, repeated experiments after replacing with materials summarize general laws. Our results showed FIP value was lowest when object detected orientation corner highest surface. geometrical certain influence on Article Highlights: (1) law between shape probed objects, field found summarized. (2) regular it edge highest, whereas lowest. (3) can be recognized scanning