Optimal deployment method of passive time-of-flight positioning system based on improved gray wolf optimization algorithm
A technology of time difference positioning and optimization algorithm, applied in wireless communication, electrical components and other directions, can solve the problems of high positioning accuracy of target area, many adjustment parameters of genetic algorithm, slow convergence speed, etc., to improve the overall positioning accuracy, fast convergence speed, Adjusting the effect of fewer parameters
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[0033] The embodiments and effects of the present invention will be further described in detail below in conjunction with the accompanying drawings.
[0034] Step 1, establishing the optimal station layout model of the passive time-difference positioning system;
[0035] The specific steps are:
[0036] First, set the independent variable of the optimal station layout model of the passive time-of-flight positioning system as the location of the receiving base station, and the number of receiving base stations is n; the station is deployed in three-dimensional space, and the coordinates of the receiving base station are: s p =[x p ,y p ,z p ] T ,p=1,...,n, the position of the target radiation source is x=[x,y,z] T , the Euclidean distance from the target radiation source to the receiving base station is r p =||x-s p ||, p=1,...,n, ||·|| represents a modulo operation. Then in the three-dimensional space, the independent variable of the optimized station layout model of t...
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