Simulated annealing locating method for multi-base sonar configuration mode

Abstract

The invention provides a simulated annealing locating method for a multi-base sonar configuration mode. Measured data of the distance and the azimuth angle is acquired by a transmitting station and a receiving station relative to a target location, and locating is performed on the target through observation data to obtain a dependent locating equation set; the locating equation set is converted into a non-linear equation set according to the non-linear relationship between locating parameters and target location coordinates, and resolving is performed through a non-linear optimization method; in the solving process of multiparameter optimization problems, combination is performed on the non-linear equation set according to a constraint rule to establish an objective function, and the comparison step is repeated by using a simulated annealing algorithm to output the current optimal solution so as to find the best matching point. According to the method, observation data of each base station is fully utilized, the resolving accuracy is higher, and the algorithm can be converged to the optimal solution so as to find the best matching point, so the effective locating of the target can be realized, input required by the algorithm can be acquired more easily, so the advantage of convenient engineering application can be realized.

Description

technical field [0001] The invention belongs to the field of signal processing and relates to a multi-base sonar positioning estimation method. Background technique [0002] Simulated annealing algorithm is a kind of global optimization algorithm, which has some internal connection with sonar's optimal positioning of underwater targets. Regardless of the underwater two-dimensional or three-dimensional positioning method, the corresponding nonlinear positioning equation can be written, and several positioning equations can be combined according to the constraint rules, and the similar objective function in the simulated annealing algorithm can be written. Once an appropriate objective function can be established, its minimum value can be found according to the Metropolis criterion and annealing rules, that is, the optimal solution of the objective function, that is, the final target coordinates that need to be determined to realize the positioning estimation of the underwater...

AI Technical Summary

Problems solved by technology

[0005] At present, there are no references on the use of simulated annealing algorithm for multi-base sonar underwater target positioning at home and abroad.

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