In order to meet the demand for improving the positioning accuracy of acoustic arrays under limited measurement points,this paper proposes a single base station acoustic array topology optimization deployment method based on the dual-group interaction population quantum particle swarm optimization combined time of arrival localization technology.Firstly,the acoustic sensors in the acoustic array are treated as particles,and the population is initialized using the advantage of the global ergodicity of the Logistic chaotic model.Secondly,utilizing the advantage of information sharing between two populations to eliminate trapped local optima during the iterative process.Once again,construct a fitness evaluation function using the TDOA model to obtain the optimal placement position of the acoustic sensor.Finally,through simulation verification,the optimized acoustic array topology structure was obtained.The simulation results show that compared with the traditional hexagonal pyramid array and QPSO optimized array,this method reduces the geometric accuracy factor to 1.351 8 m,the CRLB is reduced to 0.481 7 m,and the root mean square error to 0.556 4 m.Finally,experimental comparison and verification were conducted,and the experimental results showed that the single base station array proposed in this paper has higher positioning accuracy,greatly improving the accuracy of projectile landing point positioning.
QPSODIR-QPSOpassive sound source localizationarray optimizationLogistic chaos model
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