Research On Target Detection And Location Technology Of Intelligent Mine Array

As a kind of land defensive weapon,landmine is an indispensable important weapon in war.in the past war,it mainly played the role of blocking or delaying the attack time of the enemy.In recent years,all kinds of weapons are developing rapidly.Researchers apply advanced detection technology to mines and develop a variety of new intelligent mines.In the complex battlefield environment,intelligent mines not only need to detect,locate and destroy enemy targets independently,but also need to ensure their own concealment.In order to improve the accuracy of intelligent mine target location,the sensor array is used to detect and locate the target,and passive passive acoustic detection is used to improve its concealment.In this paper,through the passive acoustic detection technology based on arrival time delay estimation,the GCC algorithm and the least mean square adaptive filtering algorithm are studied and analyzed,and the time difference is estimated by the two algorithms respectively.Based on the simulation results and aiming at the shortcomings of the two methods,a LMS-GCC time delay estimation algorithm is proposed.By comparing with the generalized cross-correlation algorithm to estimate the time delay,it is verified that the LMS-GCC algorithm can better adapt to the complex environment and has better performance than the original algorithm.In this paper,many kinds of sensor array structures are compared,the positioning errors of these traditional positioning array structures are analyzed,and according to the positioning accuracy requirements of intelligent mine positioning system,a triangular five-element cross hybrid array structure model based on three five-element cross arrays is proposed.The array sets the center sensor of the three five-element cross array as a triangular array.The new hybrid array can effectively improve the global positioning accuracy of the intelligent mine array to the enemy target.The theoretical derivation and error analysis of the array are carried out.Based on the LMS-GCC time delay estimation algorithm,different arrays are used to compare its positioning accuracy.It is verified that the triangular five-element cross hybrid array has higher positioning accuracy and there is no location blind area,at the same time,the positioning error can be controlled at about 5%.A graphical user interface is built to visualize the positioning results,positioning error and time delay of the intelligent mine array,which is convenient for further research.Finally,this paper summarizes the intelligent mine array,which not only provides some suggestions for the research of intelligent mine array based on passive sound source detection,but also provides graphical user interface and convenient operation for further research of positioning system.