【摘要】：伴隨著世界工業(yè)的迅速發(fā)展，大量的噪聲不斷的產(chǎn)生，噪聲污染已經(jīng)成為公認(rèn)的四大污染之一，在人們生活質(zhì)量的提高以及對周圍的生活環(huán)境的要求也越來越高的情況下，噪聲對人體傷害也越來越多，人們對噪聲的抵消控制需求也顯得越來越明顯。因此對噪聲控制的研究以及實(shí)現(xiàn)顯得比較迫切。 現(xiàn)如今，對噪聲控制主要由主動噪聲控制(Active Noise Control-ANC)方法和被動噪聲控制(Passive Noise Control-PNC)方法，本論文主要研究了主動噪聲控制方法，該領(lǐng)域一直以來是噪聲控制領(lǐng)域研究的熱點(diǎn)。基本的原理是產(chǎn)生與源噪聲幅度相同和相位相反的抵消噪聲，與源噪聲進(jìn)行抵消。 本論文詳細(xì)推導(dǎo)了最小均方(Least Mean Square-LMS)自適應(yīng)算法，并分析了該算法的性能和收斂條件。設(shè)計了一個基于X濾波的最小均方(Filtered-X Least MeanSquare-FX-LMS)自適應(yīng)算法的ANC系統(tǒng)，，根據(jù)實(shí)際的次級通道的頻域特性，模擬了自適應(yīng)濾波器的系數(shù)，進(jìn)行了噪聲控制的實(shí)驗(yàn)與仿真。同時提出了一種自適應(yīng)步長的算法，有效的解決了步長的選擇問題。 搭建了系統(tǒng)的硬件平臺，設(shè)計了一個基于管道的噪聲控制系統(tǒng)。系統(tǒng)采用的核心芯片是數(shù)字信號處理器(Didital Signal Processor-DSP)芯片，成功配置了該芯片的時鐘發(fā)生器、多通道緩存串口、內(nèi)置集成I2C總線以及音頻芯片去驅(qū)動喇叭和麥克風(fēng)的正常工作。根據(jù)系統(tǒng)的算法、開發(fā)環(huán)境以及硬件平臺，設(shè)計了整體系統(tǒng)軟件開發(fā)的設(shè)計流程。 通過大量的仿真實(shí)驗(yàn)以及實(shí)際聲道特性的情況得出，基于FX-LMS算法的前饋ANC系統(tǒng)，能夠有效的濾除中低頻率的噪聲，具有較好的性能，且該算法簡單易于操作。
[Abstract]:With the rapid development of the world industry and the continuous production of a large amount of noise, noise pollution has become one of the four recognized pollution, in the case of the improvement of people's quality of life and the increasing requirements of the living environment around them, Noise is more and more harmful to human body, and the demand for noise cancellation is becoming more and more obvious. Therefore, the research and implementation of noise control is urgent. Nowadays, active noise control (Active Noise Control-ANC) and passive noise control (Passive Noise Control-PNC) are the main methods of noise control. The basic principle is to produce canceling noise with the same amplitude and phase opposite to the source noise. In this paper, the minimum mean square (Least Mean Square-LMS) adaptive algorithm is derived in detail, and its performance and convergence conditions are analyzed. A ANC system based on X-filter least mean Square (Filtered-X Least MeanSquare-FX-LMS) adaptive algorithm is designed. The coefficients of the adaptive filter are simulated according to the frequency domain characteristics of the actual secondary channel, and the noise control experiments and simulations are carried out. At the same time, an adaptive step size algorithm is proposed, which effectively solves the selection problem of step size. The hardware platform of the system is built and a noise control system based on pipeline is designed. The core chip of the system is the digital signal processor (Didital Signal Processor-DSP) chip, which is successfully configured with the clock generator, multi-channel buffer serial port, built-in integrated I2C bus and audio chip to drive the normal operation of the horn and microphone. According to the algorithm of the system, the development environment and hardware platform, the design process of the whole system software development is designed. Through a large number of simulation experiments and the actual characteristics of the sound channel, it is concluded that the feedforward ANC system based on FX-LMS algorithm can effectively filter low and medium frequency noise, and has good performance, and the algorithm is simple and easy to operate.
【學(xué)位授予單位】：浙江工業(yè)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2012
【分類號】：TP273;TP368.1

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本文編號：2236381