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A 3D multi-target localization method based on genetic algorithm

A technology of multi-target positioning and genetic algorithm, which is applied in the direction of genetic rules, positioning, genetic models, etc., and can solve unsolvable and difficult-to-calculate problems

Active Publication Date: 2020-07-24
SICHUAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0011] At this stage, when multiple signal sources in the three-dimensional space exist at the same time, a large number of calculations need to be completed to find the multiple signal sources in the three-dimensional space. resources and the problem cannot be solved at all

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  • A 3D multi-target localization method based on genetic algorithm
  • A 3D multi-target localization method based on genetic algorithm
  • A 3D multi-target localization method based on genetic algorithm

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Embodiment Construction

[0070] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. The components of the embodiments of the invention generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations.

[0071] Accordingly, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art wi...

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Abstract

An embodiment of the present invention provides a genetic algorithm-based three-dimensional multi-target positioning method, which relates to the field of signal source positioning. The method includes: establishing a three-dimensional space model; selecting a plurality of sensor nodes, and recording the position coordinates of each sensor node in the three-dimensional space model; obtaining an estimated unit direction vector from each sensor node to a source node among the plurality of sensor nodes; The position coordinates of the sensor nodes and the estimated unit direction vector from each sensor node to the source node are calculated to obtain the coordinates of the source node. The above-mentioned method selects the ray through the genetic algorithm, reduces the computing load of the computer, and at the same time can locate multiple signal sources existing in the space, with low cost and high accuracy.

Description

technical field [0001] The invention relates to the field of signal source positioning, in particular to a three-dimensional multi-target positioning method based on a genetic algorithm. Background technique [0002] Radio emission source localization methods can be mainly divided into two categories: distance-independent localization and distance-dependent localization methods. Distance-independent localization methods use topological information to infer the location of objects, thus saving hardware cost, compromising accuracy and size of localization estimates. The range-dependent positioning method is mainly based on time of arrival (TOA), time difference of arrival (TDOA), angle of arrival (AOA), and received signal field strength (RSS) for positioning. [0003] Genetic algorithm is an algorithm based on probability search proposed by Holland in 1975, which has been applied to a series of combinatorial optimization problems. The principle of genetic algorithm comes fr...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/20G06N3/12G01S5/02
CPCG01S5/0278G06F30/20G06N3/126
Inventor 武岳张源王浩
Owner SICHUAN UNIV