An Indoor Underwater Target Location Method Based on Artificial Bee Colony Algorithm

An artificial bee colony algorithm and underwater target technology, applied in the field of underwater target positioning, can solve the problems of little improvement in positioning accuracy and limited positioning accuracy, and achieve high convergence reliability, high convergence speed, and fast global maximum. The effect of optimal solution

Active Publication Date: 2019-03-12
SOUTHEAST UNIV
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The indoor underwater target positioning system uses the measurement system to obtain the distance information and depth information between the target and known reference points. After data collection and signal processing, the positioning solution is performed through a special algorithm. For static targets, the least squares method is mostly used, but its positioning accuracy is limited. Applying the weighted least squares method and other classic iterative methods to solve the problem does not greatly improve the positioning accuracy

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • An Indoor Underwater Target Location Method Based on Artificial Bee Colony Algorithm
  • An Indoor Underwater Target Location Method Based on Artificial Bee Colony Algorithm
  • An Indoor Underwater Target Location Method Based on Artificial Bee Colony Algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0043] The present invention will be further explained below in conjunction with the accompanying drawings and specific embodiments.

[0044] figure 1 It is a flow chart of the indoor underwater target positioning method based on the artificial bee colony algorithm disclosed by the present invention, comprising the following steps:

[0045] Step 1. Deploy the indoor underwater target positioning system;

[0046] Such as figure 2 As shown, the hardware part of the system in this embodiment includes an ultrasonic transducer, three hydrophones, and a hydraulic depth gauge; the three hydrophones take the center of the water area as the origin and are distributed in the positioning water area in a certain array Inside, and keep the three hydrophones at the same depth as possible, without touching the bottom of the water; the ultrasonic transducer and the water pressure depth gauge are installed on the positioning target, and their positions change as the target moves. In additi...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses an artificial bee colony algorithm-based indoor underwater target positioning method. The method includes the following steps that: (1) an indoor underwater target positioning system is deployed, W hydrophones are installed in a water area, an ultrasonic transducer and a water pressure and depth gauge are installed on a positioning target; (2) a three-dimensional coordinate system is established with the center of the water area adopted as an origin, the coordinates (xi, yi and zi) of the hydrophones, distances si between the positioning target and the W hydrophones, and the depth h of the positioning target are obtained, wherein i belongs to a set of 0,1,2, ... W-1; (3) the constraint condition and objective function of an artificial bee colony algorithm are determined; and (4) the artificial bee colony algorithm is adopted to position the underwater positioning target. The method has high convergence reliability and high convergence speed, and can get a global optimal solution quickly.

Description

technical field [0001] The invention belongs to the field of target positioning and navigation, and in particular relates to an underwater target positioning method. Background technique [0002] Artificial Bee Colony Algorithm (ABC algorithm for short) is an algorithm inspired by bee colony behavior, which was proposed by the Karaboga group in 2005 for optimizing algebraic problems. The artificial bee colony algorithm is an optimization method proposed by imitating the behavior of bees. It is a specific application of the swarm intelligence idea. Its main feature is that it does not need to understand the special information of the problem, but only needs to compare the pros and cons of the problem. The local optimization behavior of individual worker bees finally makes the global optimal value stand out in the group, which has a faster convergence speed. [0003] There are three kinds of individuals in artificial bee colony algorithm (ABC), namely employed bee (EB), follo...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & AuthorityPatents(China)
IPC IPC(8): G01S5/18G06N3/00
CPCG01S5/18G06N3/006
Inventor陈熙源臧云歌刘晓方琳
OwnerSOUTHEAST UNIV