Research On High-precision Burst Height Test Method Based On Multi-dimensional Sensor

The traditional fuze quality test method is based on the impact of the shell as the object to be measured.In recent years,the rapid development of aerial explosive ammunition has gradually transformed the explosion height into the object to be measured.In response to changes in the measured object,the test method should also be optimized.This article uses a variety of test methods such as acoustics and optics for data analysis.At the same time,a variety of spatial positioning methods are used to fuse the different types of data obtained by these methods.Calculate,finally realize the high-precision high-precision data acquisition based on multi-dimensional sensor data fusion.Aiming at the rendezvous positioning problem of multi-camera camera space,this paper conducts related research from the precise positioning of rendezvous test.Based on the shortest distance method,a rendezvous calculation method based on the maximum likelihood estimation method is proposed.Compared with the improved least squares rendezvous estimation algorithm based on the traditional projection method,it has better adaptability and higher positioning accuracy.Aiming at the problem of acoustic-vibration signal spatial positioning,this paper adopts the spatial positioning method based on the improved time-delay combination method,which is improved from the spatial positioning method based on time-delay estimation.The original spatial positioning method based on time delay estimation has a few shortcomings such as large sensor errors and easy offset in the calculation results.From the perspective of improving the sensor array arrangement,a spatial positioning method based on an improved combination method is proposed.This method achieves more precise spatial positioning of acoustic and vibration signals by optimizing the combination of sensor arrays and eliminating data with a large difference from the center distance.Aiming at the problem of multi-dimensional sensor data fusion solution,this paper adopts the multi-dimensional data fusion solution algorithm based on Kalman filter algorithm.Both the acoustic signal and the optical signal have inherent errors.Drawing on the idea of multi-dimensional sensor data fusion positioning,a multi-dimensional sensor data localization solution algorithm based on Kalman filter algorithm is proposed.After the explosion height solution of the two signals is completed,the solution data is fused iteratively and the estimated value is output.The experimental results show that the accuracy of this method is less than 10 cm,which realizes the high-precision calculation of multi-dimensional data fusion.This paper also researches the more important acoustic and vibration signal processing algorithms and high-precision methods for obtaining the starting time of explosion in each part.