發(fā)布時(shí)間：2018-06-28 16:35

  本文選題：聲源定位 + 麥克風(fēng)陣列��； 參考：《燕山大學(xué)》2014年碩士論文

【摘要】：基于麥克風(fēng)陣列的聲源定位技術(shù)在視頻會(huì)議、車載電話、數(shù)字助聽(tīng)器等領(lǐng)域有廣泛的應(yīng)用。隨著科技的進(jìn)步，ARM以其高性能、低成本、小體積顯示出了極大的優(yōu)勢(shì)。如何在ARM上實(shí)現(xiàn)高精度的聲源定位受到研究者們的普遍關(guān)注。在各種聲源定位算法中，多重信號(hào)分類技術(shù)精度最高，性能較好，，但受到計(jì)算量的限制，其在ARM上較難實(shí)現(xiàn)。本文主要研究了該方法，并對(duì)其改進(jìn)使之能夠在ARM上實(shí)現(xiàn)。 首先，概要的闡述了基于麥克風(fēng)陣列的聲源定位方法，比較其優(yōu)缺點(diǎn)。 其次，詳細(xì)介紹了麥克風(fēng)陣列的信號(hào)模型，闡述了多重信號(hào)分類技術(shù)的原理并對(duì)其進(jìn)行仿真分析。以此為基礎(chǔ)，研究了改進(jìn)的MUSIC算法，該方法結(jié)合最大功率的頻點(diǎn)定位和免特征分解算法，解決了MUSIC算法計(jì)算量大的問(wèn)題，并實(shí)現(xiàn)了對(duì)多頻信號(hào)的定位。 再次，以STM32F103RBT6為核心處理器件，設(shè)計(jì)了一個(gè)基于ARM的實(shí)時(shí)聲源定位系統(tǒng)，詳細(xì)介紹了該系統(tǒng)的硬件結(jié)構(gòu)和軟件程序設(shè)計(jì)。整個(gè)系統(tǒng)由前端麥克風(fēng)陣列聲音采集模塊、模擬信號(hào)預(yù)處理模塊以及聲音信號(hào)識(shí)別測(cè)向模塊構(gòu)成，其中改進(jìn)的MUSIC算法為本文的核心。 最后，在實(shí)際環(huán)境中對(duì)本文設(shè)計(jì)的聲源定位系統(tǒng)進(jìn)行了大量的測(cè)試，實(shí)驗(yàn)結(jié)果表明，本文的改進(jìn)算法具有更好的定位性能，估計(jì)誤差和均方根誤差能夠控制在一個(gè)較小的范圍內(nèi)，可用在實(shí)時(shí)定位系統(tǒng)中。
[Abstract]:The sound source location technology based on microphone array has been widely used in video conference, on-board telephone, digital hearing aid and so on. With the progress of science and technology, arm has shown great advantages with its high performance, low cost and small volume. How to achieve high accuracy sound source location on arm has been paid more attention by researchers. Among all kinds of acoustic source location algorithms, multi-signal classification technology has the highest accuracy and better performance, but it is difficult to implement on arm because of the limitation of computation. This paper mainly studies this method and improves it so that it can be implemented on arm. Firstly, the sound source location method based on microphone array is briefly described, and its advantages and disadvantages are compared. Secondly, the signal model of microphone array is introduced in detail. Based on this, the improved music algorithm is studied, which combines the maximum power frequency location algorithm and the feature free decomposition algorithm to solve the problem of large computation of music algorithm, and realize the localization of multi-frequency signal. Thirdly, with STM32F103RBT6 as the core processing device, a real-time sound source location system based on arm is designed. The hardware structure and software program design of the system are introduced in detail. The whole system is composed of front microphone array sound acquisition module, analog signal preprocessing module and sound signal recognition and direction finding module, among which the improved music algorithm is the core of this paper. Finally, a large number of tests on the sound source location system designed in this paper are carried out in the actual environment. The experimental results show that the improved algorithm has better localization performance. Estimation error and root mean square error can be controlled in a small range and can be used in real time positioning system.
【學(xué)位授予單位】：燕山大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TN912.3

【引證文獻(xiàn)】

相關(guān)碩士學(xué)位論文 前3條

1 劉平方;基于虛擬儀器的聲源追蹤技術(shù)研究[D];河南工業(yè)大學(xué);2016年

2 曾憲燎;聯(lián)合音視頻信息的目標(biāo)定位技術(shù)研究[D];電子科技大學(xué);2015年

3 高金;基于麥克風(fēng)陣列的移動(dòng)聲源定位研究[D];燕山大學(xué);2015年

本文編號(hào)：2078647