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A Testing Method Of Projectile Explosion Position With Acoustic Sensor Array

Posted on:2024-07-09Degree:MasterType:Thesis
Country:ChinaCandidate:Q WangFull Text:PDF
GTID:2542307061968119Subject:Communication and Information System
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In the research and development testing of new weapons,the accuracy of the test for the explosion point position of projectiles is an important indicator for evaluating the performance of weapons and equipment.Currently,in military shooting ranges,methods such as photoelectric detection,high-speed photography,or radar detection are often used for testing the explosion point position of projectiles.However,these methods have disadvantages such as system complexity,limited detection range,high cost,and susceptibility to environmental interference such as light and electromagnetic waves.Additionally,the explosion point position of projectile has great uncertainty and randomness,which aggravates the difficulty of measuring the explosion point position of projectile.Consequently,this paper proposes a method for measuring the spatial position of projectile explosion point based on multi-acoustic array,which provides a more accurate test method for the test of the projectile explosion point position in the specified area.In order to effectively solve the problem of large dispersion range,complex battlefield environment and low measurement accuracy of projectile explosion point position,this article proposes a spatial position testing method for projectile explosion points based on multi-array fusion from the perspective of improving time delay accuracy.The error model of explosion point position is constructed by error transfer theory,and the distribution of explosion point position under different influencing factors is simulated and analyzed.Then,the characteristics of the explosion signals in complex environments were studied,and wavelet packet transform was used to denoise the explosion sound source signals in different testing environments.Through the denoised signals,it was found that the explosion signals in complex environments were difficult to recognize.In response to the difficulty in identifying explosion signals,the feature extraction of the explosion signal is carried out from the three dimensions of time domain,frequency domain and time-frequency domain in turn.A feature dimension reduction method of explosion signal based on principal component analysis and box diagram is proposed.In the case of ensuring the characteristics of the explosion signal,the least feature dimension is retained to construct a new feature vector set of the explosion signal to accelerate the processing speed of the algorithm.Finally,based on the new feature combination of the explosion signal,an explosion signal recognition algorithm based on fuzzy multi classifier fusion is used to identify the explosion signal and extract the time value.For the verification of the accuracy of the time value of the explosion point,according to the spatial structure of the multi acoustic array and the acoustic wave propagation law,a time delay value determination method based on space-time constraints is studied.The verification of the second determination improves the accuracy of time delay acquisition;Based on the time delay value,the position information of the single sound array explosion point is calculated,and on this basis,the final projectile explosion point position can be solved using a multi-array fusion algorithm.According to the established analytical model of the projectile explosion point position,an experimental platform was built to obtain the explosion signals,and a simulation test was used for comparison.The results indicate that the direction error of the three-dimensional five-sensor array ultimately selected in this article is within the range of 1 degree,and the explosion point position error of the fusion is below 0.5m,which can meet the testing requirements.Therefore,the multi-classifier fusion algorithm based on fuzzy rules can improve the recognition accuracy of the explosion signal,and the multi-acoustic array fusion algorithm can improve the test accuracy of the explosion point position,which verifies the feasibility and accuracy of the proposed method for testing the spatial position of projectile explosions.
Keywords/Search Tags:explosion point positioning, multi-acoustic array, feature extraction, fusion recognition, spatiotemporal constraints
PDF Full Text Request
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