Ranging method based on sound sensor and system thereof

Abstract

The invention relates to a ranging method based on a sound sensor and a system thereof. The method comprises the steps: (1) a ranging server generates the audio recording start time and the play start time and play time length of playing a Beep signal of each mobile terminal in a plurality of mobile terminals involved in ranging, each mobile terminal plays the Beep signal according to the play start time and play time length generated by the ranging server, and each mobile terminal in the plurality of mobile terminals records the respective audio file respectively, (2) the recorded original audio file is read, original audio data is obtained, and the noise removing is carried out on the original audio data, (3) based on the original audio data which is subjected to noise removing, a Beep interval is determined, (4) the audio file of each of the mobile terminals has a plurality of Beep signals, each audio file is subjected to multiple cycle calculation, and the start position of each Beep signal is calculated, (5) according to the calculated Beep signal start position, the actual distances between mobile terminals in the plurality of mobile terminals are calculated.

Description

technical field [0001] The present invention relates to the field of mobile communication technology, and in particular to terminal distance measurement technology, in particular to a distance measurement method and system based on sound sensors and high-frequency sounds in noisy environments, which can be applied to measure the distance between mobile terminals in noisy environments in the application. Background technique [0002] Ranging technology plays an important role in military affairs, production and daily life. With the widespread use of mobile terminals, accurate ranging using mobile terminals has become an increasingly common mobile terminal application and research direction. Ranging is mainly divided into short-distance ranging and long-distance ranging, and the ranging process is mainly divided into ranging after positioning and pure ranging. Ranging after positioning is mainly used for long-distance ranging, which refers to obtaining long-distance ranging d...

AI Technical Summary

Problems solved by technology

But its shortcoming is: noise widely exists in all frequency bands, and it is still difficult to find an accurate Beep starting point due to the influence of noise after filtering the recorded audio, so for noisy indoor environments, the accuracy of distance measurement is limited will be greatly reduced, and therefore more limited

But its shortcomings are: 2-6KHZ Beep is audible to human ears, which affects the generality of the method; co-correlation technology is computationally intensive, time-consuming, and has poor robustness. Beep can be detected in various scenarios. The accuracy of the initial point is low, and it is greatly affected by the multipath effect, and the detection error is large

But its disadvantage is: this method needs to know the noise area in the audio accurately, so as to use the uniform distribution characteristics of the noise to distinguish, but the noise area in the audio is often difficult to know directly, because various delays will cause Beep arrival time and actual time have a large difference, so when there is a delay, the detection accuracy of this method is not high

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