本文選題：自適應算法　切入點：自適應消噪器　出處：《西南交通大學》2014年碩士論文

【摘要】：自適應消噪器是基于自適應濾波技術(shù)的一種運用,它能在時變、非平穩(wěn)噪聲背景環(huán)境中有效消除噪聲干擾,在自適應信號處理領域有著廣泛運用。隨著大規(guī)模數(shù)字集成電路和計算機技術(shù)的發(fā)展,特別是高性能數(shù)字信號處理器的出現(xiàn),為自適應消噪器的構(gòu)建提供硬件支持。本文在研究自適應濾波技術(shù)及相關算法的基礎上,致力于構(gòu)建一個基于DSP的自適應消噪硬件平臺,并運用于實際噪聲環(huán)境中語音信號消噪處理,為自適應消噪技術(shù)的硬件實現(xiàn)與運用做出有益嘗試。 本文采用理論分析、軟件仿真與硬件設計實現(xiàn)相結(jié)合的研究方法。在研究自適應算法的基礎上,用軟件仿真驗證相關參數(shù)對自適應算法性能的影響,并通過建模仿真將自適應算法運用于自適應消噪實驗中,通過消噪結(jié)果對比算法的性能。最后基于DSP構(gòu)建自適應消噪硬件平臺,完成自適應消噪器的硬件實現(xiàn)。主要完成的工作有： 1.對自適應算法進行研究,重點研究了LMS算法和RLS算法的推導過程,并對影響LMS算法性能指標的因素進行分析。針對LMS算法在收斂速度、穩(wěn)態(tài)誤差對步長因子取值要求的矛盾性,研究了幾種變步長算法,在此基礎上提出一種改進的變步長算法。 2.通過在MATLAB環(huán)境中仿真,驗證了改進變步長算法在自適應噪聲抵消的運用中,具有良好的性能,能有效提高消噪系統(tǒng)的消噪性能。 3.采用SIMULINK建模仿真,建立了基于LMS算法和RLS算法的自適應消噪實時仿真模型,通過實時仿真結(jié)果確定了基于所建模型的最優(yōu)算法參數(shù)選取。 4.采用TI公司2000系列DSP芯片TMS320F28335為核心,構(gòu)建了一個自適應消噪最小硬件系統(tǒng),完成軟硬件電路的設計與調(diào)試,并通過一個實際噪聲環(huán)境中的語音信號去噪測試實驗,驗證了所設計的系統(tǒng)能實現(xiàn)自適應消噪功能。
[Abstract]:Adaptive noise canceller is a kind of application based on adaptive filtering technology. It can effectively eliminate noise interference in time-varying, non-stationary noise background environment. With the development of large scale digital integrated circuit and computer technology, especially the emergence of high performance digital signal processor, Based on the research of adaptive filtering technology and related algorithms, this paper is devoted to constructing a hardware platform of adaptive denoising based on DSP. And it is applied to the speech signal de-noising processing in the actual noise environment, which makes a beneficial attempt for the hardware realization and application of the adaptive de-noising technology. Based on the research of adaptive algorithm, the influence of relevant parameters on the performance of adaptive algorithm is verified by software simulation. Through modeling and simulation, the adaptive algorithm is applied to the experiment of adaptive denoising, and the performance of the algorithm is compared with the results of de-noising. Finally, the hardware platform of adaptive de-noising is constructed based on DSP. The hardware implementation of the adaptive de-noising device is completed. The main work accomplished is as follows:. 1. The adaptive algorithm is studied, the derivation process of LMS algorithm and RLS algorithm is studied, and the factors influencing the performance of LMS algorithm are analyzed. Based on the contradiction of steady-state error to the requirement of step size factor, several variable step size algorithms are studied, and an improved variable step size algorithm is proposed. 2. Through the simulation in MATLAB environment, it is proved that the improved variable step size algorithm has good performance in the application of adaptive noise cancellation, and it can effectively improve the denoising performance of the de-noising system. 3. The real-time simulation model of adaptive de-noising based on LMS algorithm and RLS algorithm is established by using SIMULINK modeling and simulation. The parameters of the optimal algorithm based on the established model are determined by the real-time simulation results. 4. Using TI 2000 series DSP chip TMS320F28335 as the core, a minimum hardware system for adaptive de-noising is constructed. The design and debugging of the hardware and software circuit are completed, and the test experiment of speech signal de-noising in a real noise environment is carried out. It is verified that the designed system can realize adaptive de-noising function.
【學位授予單位】：西南交通大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TB535.2

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