Research On Positioning Technology Of Projectile Point Based On Microphone Array

With the sustainable development of signal processing,the chip is mass produced and the price of the chip tend to stabilize.The sensor networks have been further developed and widely used in life,military engineering,etc.Sound source localization has leaped to a new step.The passive detection system using microphone array sensors is developing rapidly,which mainly uses the arranged microphone array to collect and receive the target sound.Then,the location of target is calculated by the collected data.Based on these problem,this paper mainly discusses the location of a single bounce point based on TDOA passive detection technology,and the directional and positional calculation of signal source based on the broadband signal DOA measurement technology.Its research content includes the following two aspects:1.Given the error of sensor hardware performance and the interference caused by the environment in the actual range positioning application,this paper first filters the bounce point signal and plays the point signal endpoint detection processing,and puts forward a speed-free TDOA bullet point positioning algorithm based on the traditional CHAN algorithm;Secondly,the K-means clustering algorithm and Gaussian function are used for data fusion to eliminate false target points.The wind speed parameter correction is carried out on the TDOA positioning scheme of a single point.The results show that the algorithm proposed in this paper improves the accuracy of the bounce point measurement.The error is fewer than 5 meters,can meet the requirements of the project.2.The application of the TDOA algorithm to a single signal source solves more complex problems.Based on the range grid model,this paper solves the problem of single-signal source measurement and positioning by using broadband DOA measurement.Firstly,the received signal from each microphone array is a dry signal,the broadband DOA measurement algorithm of the dry signal is applied,and the algorithm is corrected to further improve the positioning measurement.Secondly,this paper builds a multi-array data fusion model based on probability density functions.It can eliminate the ghosts caused by directional intersection of array.The results show that the algorithm proposed can solves the problem of the direction of the bounce point.Meanwhile,the algorithm improves the accuracy of the positioning direction within 1 degree and can meet the requirements of the project.