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Artificial swarm-based direct positioning method

A positioning method and artificial bee colony technology, which are applied in the field of wireless positioning, can solve the problems of large consumption of computing resources and long time-consuming positioning operations, and achieve the effects of improving positioning accuracy, shortening positioning time-consuming, and reducing computing resource consumption.

Active Publication Date: 2019-04-05
HARBIN ENG UNIV
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Problems solved by technology

The grid search algorithm needs to calculate each grid point, so the disadvantage of this method is that the calculation resource consumption is large, and the positioning operation takes a long time

Method used

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Embodiment Construction

[0052] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0053]The purpose of the present invention is to overcome the above-mentioned defect of prior art, provide a kind of direct positioning new method based on artificial bee colony, artificial bee colony algorithm has the advantage of high search precision and fast convergence speed when solving nonlinear optimization problem, artificial bee colony The worker bee colony algorithm used in direct positioning can shorten the calculation time and reduce the consumption of computing resources.

[0054] In order to achieve the above object, the present invention adopts the following technical solutions:

[0055] (1) Establish a time-domain model of the signal received by the array antenna of the observation station. This model represents an expression of the signal sent by the positioning target received by the receiving antenna. Here, the inf...

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Abstract

The invention provides an artificial swarm-based direct positioning method. According to the method, an array antenna to receive a signal time domain model; a frequency domain observation model of a received signal is obtained; a target function is established to determine a fitness function; control parameters are initialized, a fitness value of each initial solution is calculated, neighborhood search is carried out by honey gathering bees to generate new solutions, and fitness values corresponding to the new solutions are calculated to carry out greed selection; selection probabilities related to the solutions are calculated, neighborhood search is carried out again to generate new solutions, and fitness values corresponding to the new solutions are calculated to carry out greed selection; judgement is carried out to determine whether a to-be-abandoned solution exits or not, of the judging result is positive, a new solution is generated to replace the to-be-abandoned solution and thenew solution is recorded; and finally, judgement is carried out to determine whether a termination condition is satisfied or not, if the judging result is positive, an optimum result is output, and otherwise, new solutions are continuously and repeatedly generated to replace the old solutions and subsequent steps are carried out. According to the method, an artificial swarm algorithm is introduced to solve the solving of non-linear optimization problems in direct positioning process, so that the operation resource consumption is decreased and the positioning time consumption is shortened.

Description

technical field [0001] The invention relates to a direct positioning method, in particular to a direct positioning method based on an artificial bee colony, and belongs to the technical field of wireless positioning. Background technique [0002] At present, passive positioning technology is divided into two-step positioning and direct positioning. Two-step positioning can be divided into several types according to the observations used, including time difference of arrival positioning technology, angle of arrival positioning technology, Doppler difference positioning technology, and some joint positioning technologies. The two-step positioning method is divided into two steps. The first step is to estimate the positioning parameters from the original signal samples, and the second step is to further determine the position information of the target based on these parameters. Because the two-step positioning method needs to estimate the positioning parameters, this step will...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S5/06
CPCG01S5/06Y02D30/70
Inventor 郜丽鹏高佳旭高敬鹏刘楯
Owner HARBIN ENG UNIV
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