Distributed automobile whistling sound source real-time rapid positioning method, system and device capable of adapting to moving sound source, processor and storage medium

Abstract

The invention relates to a TDOA-FOA-based distributed automobile whistling sound source real-time rapid positioning method capable of adapting to a moving sound source. According to the method, a distributed automobile whistling sound source of a monitored vehicle is detected through a plurality of microphones. The method specifically comprises five steps of energy detection, TDOA and FOA measurement, cost function calculation, position estimation and speed estimation and sound source position determination. The invention further relates to a corresponding system and device, a processor and a computer readable storage medium. By adopting the method, the system, the device, the processor and the computer readable storage medium provided by the invention, the bottleneck that a time difference of arrival method is difficult to adapt to a moving sound source is overcome by fully utilizing Doppler information difference among distributed microphones, and compared with a beam forming method, the method can greatly reduce the number of the microphones and operation resources; the method has the advantages of being economical in cost and flexible in deployment; and compared with other methods based on TDOA, the method has the advantages of being low in operation complexity and capable of adapting to a sound source moving at a high speed.

Description

technical field [0001] The present invention relates to the technical field of acoustic measurement, in particular to the technical field of vehicle whistle sound source measurement, and specifically refers to a method, system, Apparatus, processor and computer readable storage medium thereof. Background technique [0002] With the improvement of urban civilization, the noise pollution caused by car whistles has attracted more and more attention. The relevant departments of our country have also promulgated corresponding laws to stop and reduce the occurrence of this phenomenon. However, manual law enforcement not only offsets the efficiency, but also wastes A lot of manpower and material resources are required, so how to effectively locate and identify illegal horns in urban traffic has become a key issue to be studied in this field. The sound source localization technology based on the microphone array can help the traffic law enforcement department to quickly and accurat...

AI Technical Summary

Problems solved by technology

However, this method requires a large number of microphones, and the processing process of large-scale array beamforming is complex, which requires high computing power of the platform, and still has the disadvantages of high equipment cost, large volume and weight, and difficult installation and maintenance.

In addition, researchers have also proposed some methods based on TDAO, including 1 (Zhang Huanqiang, Huang Shichun, Jiang Weikang. Algorithm and implementation of car whistle sound localization based on microphone array [J]. Noise and Vibration Control, 2018) based on space search The five-microphone array three-dimensional sound source localization algorithm based on the method, the positioning method based on the regular tetrahedral microphone array proposed by the Chinese patent (vehicle whistle capture device and method based on the regular tetrahedral microphone array, patent number CN201911072328.3), and the paper 2 (Sun Maoheng, Yu Yingting. Simulation of vehicle horn sound localization system [J]. Acoustic Technology, 2009) proposed urban road car whistle sound localization system based on microphone array sound source localization technology; these methods all have small array size and computational However, due to the Doppler effect of moving vehicles, the accuracy of time delay estimation based on generalized cross-correlation will deteriorate sharply. Therefore, this method is limited to stationary or low-speed moving vehicles, and it is difficult to adapt to the scene of moving vehicles.

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