Tooting detection and positioning method based on microphone area array

A positioning method and microphone technology, applied in positioning, traffic flow detection, measuring devices, etc., can solve problems such as hardware does not support high sampling rate, is not suitable for positioning estimation, and the impact of positioning accuracy, and achieves low frequency requirements, Effects of low signal-to-noise ratio, reliable estimates

Inactive Publication Date: 2018-03-13
UNIV OF ELECTRONICS SCI & TECH OF CHINA +1
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AI Technical Summary

Problems solved by technology

[0004] Among the existing positioning algorithms, the positioning algorithm based on time difference of arrival has a large positioning error under low signal-to-noise ratio, and the method based on high-resolution spectral estimation is not suitable for real-time positioning estimation due to its large amount of calculation.
Moreover, the existing positioning algorithms do not consider the fact that the hardware does not support high sampling rates in practical applications, which has a great impact on the positioning accuracy

Method used

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  • Tooting detection and positioning method based on microphone area array
  • Tooting detection and positioning method based on microphone area array
  • Tooting detection and positioning method based on microphone area array

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Embodiment

[0053] Generate a microphone array with 4 rows and 8 columns, the row spacing is 0.045, the column spacing is 0.03, and 32 array elements are on the same plane, as shown in the schematic diagram Figure 4 shown. The whistle signal is sampled at a sampling rate of 288KHz and the number of sampling points is 512. It can be seen that the most common dual-tone electric horns on urban roads are mainly distributed in two frequency points of 3.2KHz and 4.1KHz in the frequency domain. In this embodiment The sound source signal s(t) is assumed to be the two different frequencies f c1 , f c2 Superposition of sinusoidal signals, where f c1 = 3.2KHz, f c2 =4.1KHz:

[0054] s(t)=cos(2π×3200t+φ1)+cos(2π×4100t+φ2)

[0055] φ 1 , φ 2 Respectively, any definite phase value, randomly generated in the simulation. Ideally, the signal received by the i-th microphone is:

[0056] x i (t) = α i s(t-τ i )+n i (t), i=1,2...32

[0057] where s(t) is the source signal, τ i 、α i , n i (t...

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Abstract

The invention relates to a tooting detection and positioning method based on a microphone area array to effectively and quickly determine the azimuth angle of a violating toot. The method first receives a tooting signal based on the microphone area array, and then samples the received signal through a hardware system. The method mainly analyzes the hardware-sampled data. In addition, in consideration that the hardware may not support a high sampling rate under actual conditions, a re-sampling part is added to the method to increase the sampling rate and to reduce a positioning error. The method first estimates an arrival time difference between each microphone array element and a reference point, performs a corresponding time shift on each array element received signal, then weights the time-aligned signals, adds the results together to form an output, subjects the beamformed data to Fourier transformation, traverses the possible positions of a sound source to guide beam subjected to the Fourier transformation, finds out the point where the output is the largest, and calculates the azimuth angle of the tooting sound wave.

Description

technical field [0001] The invention relates to a whistle detection and positioning method based on a microphone array, which can effectively and quickly perform azimuth positioning on the sound of whistles violating regulations. Background technique [0002] The 2017 Report on the Prevention and Control of Environmental Noise Pollution in China shows that in 2016, relevant departments received a total of 1.19 million environmental complaints, of which 522,000 were noise complaints, accounting for 43.9% of the total environmental complaints. People often think that noise mainly comes from industry, construction, and service industries, but in fact, traffic is also one of the main sources of noise. Nowadays, with the rapid development of the economy, the number of motor vehicles in various cities across the country is increasing year by year. According to the data of the Public Security Traffic Management Bureau, as of the end of June 2017, the number of motor vehicles in the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S5/22G08G1/01
CPCG01S5/22G08G1/0116
Inventor 黄际彦王义圆张曦文周贻能母国才曹厚华
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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