Gas leak location method based on improved minimum variance distortionless response angle spectrum algorithm
It is difficult to accurately locate tiny gas leaks in noisy environments,a gas leak location method based on an improved minimum variance distortionless response(MVDR)algorithm is proposed.The algorithm trackes and weights the signal noise ratio to extract the time-frequency support domain,which is less affected by noise and dominates the energy of a single sound source.Then,the Softplus activation function is used to adaptively adjust the contribution of different frequency components to the angle spectral function,which could increase the time-frequency domain weights dominated by the leaked sound source.In addition,the sub-band processing based on time-frequency sparsity is introduced to ensure that there is a dominant sound source in each sub-band with energy dominance.Therefore,the accumulation of low frequency noise energy is suppressed,while high frequency aliasing is avoided.By simulation and experiments,the results show that the improved MVDR angle spectrum algorithm can realize the precise location of the gas leak source,and the maximum error of the positioning results is within 3.5°.Compared with the traditional algorithm,this method has higher stability,anti-noise ability and accuracy under low signal-to-noise ratio and low sampling points,which can provide a certain reference value for the practical application of gas leak location.
Minimum variance distortionless responseLeak locationDirection of arrival estimationArray signal processing
NETL
NSTL
万方数据
维普
