Influence Of Geometrical Features Of Objects On Active Electric Field Positioning System And Optimization Of Positioning Algorithm

With the development of human society,bionics is not a new concept that only remains in theoretical research.Human beings have invented a large number of scientific and technological products to promote the economic and social development of human beings by studying and imitating some biological phenomena in the natural environment around us.The detection technology based on underwater active electric field is imitated to a weak electric fish in a deep sea.The weak electric fish establishes a detection electric field through its own discharge tissue,and whe n an object exists in the detection electric field,it will cause the electric field to be distorted by interference.The weak electric fish perceives the weak change of the electric field and transmits the changed electric field information to the brain for signal processing,finally achieving the purpose of locating and recognizing objects in its surrounding environment.This paper focuses on the influence of the geometric features of the underwater target detection object on the active detection of the e lectric field signal.First of all,we simulate the weak electric field perception principle of weak electric fish to build an experimental platform based on active electric field detection.In this experimental platform,we use the way of multi-target sweeping to detect the target object for the distorted electric field information due to the effects of external geometrical features of the object.During the process of experimental exploration,we designed a large number of target objects with different ma terials and different geometries to conduct a large number of sweep detection experiments.Finally,we summarized the general laws of the influence of different external geometric features on the detection electric field.The main conclusions of the entire study of this paper as follow:1.The induced electrode receives the distorted electric field signal in the detection device.After the fast Fourier transform of the signal,the amplitude trend of the signal can characterize the influence of the object on the detection of the electric field signal.2.Through the multi-azimuth sweep detection experiment of various metal objects with different materials and geometrical shapes,we find that the variation trend of signal amplitude is different from the detection of different azimuth of objects,and we can use the detection signal dead zone range and signal transition frequency to characterize the influence of geometric features on the detection signal in the specific azimuth of the object.3.The integrated detection electric field information data and the signal acquisition position are plotted into a data map.We connect the patterns formed by specific data points to reflect the law between the external geometrical characteristics of the object and the amplitude of the detected electric field information.Finally,we analyze the influence of the electric field information amplitude around the target object and the working principle of the current positioning algorithm,and then optimize the positioning algorithm of the underwater target object to improve its positioning efficiency.