Lv Luting, Ma Teng, Quan Jingyi, Fan Jiajia, Li Ye
{"title":"基于粒子群自适应阈值估计的主动水下电定位方法。","authors":"Lv Luting, Ma Teng, Quan Jingyi, Fan Jiajia, Li Ye","doi":"10.1088/1748-3190/adcf69","DOIUrl":null,"url":null,"abstract":"<p><p>Target detection and localization are essential capabilities for underwater vehicles to perceive and understand the underwater environment. In turbid, dark and semi-enclosed waters, such as underwater caves, acoustic and optical sensing devices face serious problems of reverberation and attenuation of the detection range, respectively. Weakly electric fish use their electric organ in the tail to produce repetitive discharges, while their electric receptors in the head and trunk detect electrical signals. This enables them to locate targets, avoid predators and facilitate hunting. In this paper, a bio-inspired active underwater electrolocation method is proposed, in which an adaptive contour-ring based target localization method is applied to provide both robust and accurate localization results for vehicles. In particular, on the basis of the efficient generation of prior contour-ring maps with high confidence and high precision, a particle swarm optimization theory-based adaptive threshold estimation algorithm was proposed to overcome the problem of non-uniqueness in the traditional contour ring-based method, while an electrode array pattern that integrates positioning accuracy and number of electrodes is proposed. Tank experiments have demonstrated the positioning accuracy of the proposed method.</p>","PeriodicalId":55377,"journal":{"name":"Bioinspiration & Biomimetics","volume":"20 3","pages":""},"PeriodicalIF":3.1000,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Active underwater electrolocation method with PSO-based adaptive threshold estimation.\",\"authors\":\"Lv Luting, Ma Teng, Quan Jingyi, Fan Jiajia, Li Ye\",\"doi\":\"10.1088/1748-3190/adcf69\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Target detection and localization are essential capabilities for underwater vehicles to perceive and understand the underwater environment. In turbid, dark and semi-enclosed waters, such as underwater caves, acoustic and optical sensing devices face serious problems of reverberation and attenuation of the detection range, respectively. Weakly electric fish use their electric organ in the tail to produce repetitive discharges, while their electric receptors in the head and trunk detect electrical signals. This enables them to locate targets, avoid predators and facilitate hunting. In this paper, a bio-inspired active underwater electrolocation method is proposed, in which an adaptive contour-ring based target localization method is applied to provide both robust and accurate localization results for vehicles. In particular, on the basis of the efficient generation of prior contour-ring maps with high confidence and high precision, a particle swarm optimization theory-based adaptive threshold estimation algorithm was proposed to overcome the problem of non-uniqueness in the traditional contour ring-based method, while an electrode array pattern that integrates positioning accuracy and number of electrodes is proposed. Tank experiments have demonstrated the positioning accuracy of the proposed method.</p>\",\"PeriodicalId\":55377,\"journal\":{\"name\":\"Bioinspiration & Biomimetics\",\"volume\":\"20 3\",\"pages\":\"\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2025-05-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Bioinspiration & Biomimetics\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1088/1748-3190/adcf69\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bioinspiration & Biomimetics","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1088/1748-3190/adcf69","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
Active underwater electrolocation method with PSO-based adaptive threshold estimation.
Target detection and localization are essential capabilities for underwater vehicles to perceive and understand the underwater environment. In turbid, dark and semi-enclosed waters, such as underwater caves, acoustic and optical sensing devices face serious problems of reverberation and attenuation of the detection range, respectively. Weakly electric fish use their electric organ in the tail to produce repetitive discharges, while their electric receptors in the head and trunk detect electrical signals. This enables them to locate targets, avoid predators and facilitate hunting. In this paper, a bio-inspired active underwater electrolocation method is proposed, in which an adaptive contour-ring based target localization method is applied to provide both robust and accurate localization results for vehicles. In particular, on the basis of the efficient generation of prior contour-ring maps with high confidence and high precision, a particle swarm optimization theory-based adaptive threshold estimation algorithm was proposed to overcome the problem of non-uniqueness in the traditional contour ring-based method, while an electrode array pattern that integrates positioning accuracy and number of electrodes is proposed. Tank experiments have demonstrated the positioning accuracy of the proposed method.
期刊介绍:
Bioinspiration & Biomimetics publishes research involving the study and distillation of principles and functions found in biological systems that have been developed through evolution, and application of this knowledge to produce novel and exciting basic technologies and new approaches to solving scientific problems. It provides a forum for interdisciplinary research which acts as a pipeline, facilitating the two-way flow of ideas and understanding between the extensive bodies of knowledge of the different disciplines. It has two principal aims: to draw on biology to enrich engineering and to draw from engineering to enrich biology.
The journal aims to include input from across all intersecting areas of both fields. In biology, this would include work in all fields from physiology to ecology, with either zoological or botanical focus. In engineering, this would include both design and practical application of biomimetic or bioinspired devices and systems. Typical areas of interest include:
Systems, designs and structure
Communication and navigation
Cooperative behaviour
Self-organizing biological systems
Self-healing and self-assembly
Aerial locomotion and aerospace applications of biomimetics
Biomorphic surface and subsurface systems
Marine dynamics: swimming and underwater dynamics
Applications of novel materials
Biomechanics; including movement, locomotion, fluidics
Cellular behaviour
Sensors and senses
Biomimetic or bioinformed approaches to geological exploration.