A Specific Sound Source Localization Method Based on Improved TDOA
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摘要:
面向在復雜場(chǎng)景下對特定的聲源進(jìn)行篩選并定位的情況,設計了一套聲源定位系統該系統以STM32為主控芯片,以基于時(shí)間差定位算法(the time differences of arrival,TDOA)作為基本原理。對于可能出現的低信噪比、線(xiàn)性度不貼合實(shí)際、以及多徑效應等情況,首先利用模糊集合對采集到音頻數據進(jìn)行篩選處理處理,增強信號的抗干擾性,從而得到理想的音頻數據。之后利用網(wǎng)格迭代法估算聲源坐標。在相同條件下與傳統TDOA算法進(jìn)行實(shí)驗對比,結果表明在對特定頻率的音頻進(jìn)行定位時(shí),整個(gè)系統相比于傳統算法更具有抗干擾性和定位準確度,達成了預期目標。
Abstract:
A sound source localization system was designed for the screening and localization of specific sound sources in some complex scenarios. The system uses STM32 as the main control chip and the time differences of arrival (TDOA) algorithm as the basic principle. For possible situations such as low signal-to-noise ratio, impractical linearity, and multipath effects, fuzzy sets are first used to filter and process the collected audio data to enhance signal anti-interference and obtain ideal audio data. Afterwards, the grid iteration method is used to estimate the sound source coordinates. Under the same conditions, experimental comparisons were made with traditional TDOA algorithms, and the results showed that the entire system had better anti-interference and higher positioning accuracy compared to traditional algorithms when locating specific frequency audio, achieving the expected goals.