基于LMS自適應(yīng)濾波器的應(yīng)用的Matlab仿真

論文編號:DZXX394  論文字?jǐn)?shù):13398,頁數(shù):33

摘  要

 隨著無線通信技術(shù)的不斷發(fā)展和日益成熟，如何在復(fù)雜的通信環(huán)境下有效的解調(diào)信號并利于數(shù)字實現(xiàn)是近年研究的新課題。在通信領(lǐng)域，自適應(yīng)算法在自適應(yīng)均衡、自適應(yīng)頻率跟蹤與檢測等方面的應(yīng)用比較成熟。隨著研究的深入，發(fā)現(xiàn)利用自適應(yīng)濾波器的抗干擾性能和對信號的跟蹤能力，可以更加簡單的提取基帶信息，取得比常用相干解調(diào)更理想的性能。
 本文通過對各種自適應(yīng)算法進行了研究和分析，并且利用Matlab對各種算法進行了仿真。本文主要包括以下幾個內(nèi)容：討論了基本最小均方算法的性能和步長因子對算法性能的影響。自適應(yīng)濾波器的應(yīng)用越來越廣泛，其LMS算法的性能與濾波器階數(shù)、自適應(yīng)步長的大小密切相關(guān)，這兩個參數(shù)影響著系統(tǒng)的收斂速度、計算量和穩(wěn)態(tài)誤差。系統(tǒng)分析LMS自適應(yīng)濾波器的工作原理，研究階數(shù)和步長兩個參數(shù)對濾波效果的影響。對LMS自適應(yīng)濾波器在系統(tǒng)辨識、自回歸過程的自適應(yīng)預(yù)估器、噪聲抵消、回聲抵消以及在直擴系統(tǒng)中實現(xiàn)偽碼同步的應(yīng)用，利用Matlab進行了編程仿真和分析。
 

關(guān)鍵詞： LMS算法 自適應(yīng)濾波器 Matlab 應(yīng)用仿真

ABSTRACT

 As wireless communications technology and the continuous development of increasingly mature, how in the complex environment of effective communication signal demodulator and is conducive to achieving figures in recent years on a new topic. In the field of communications, adaptive algorithm in the adaptive equalization, adaptive frequency tracking and detection, such as the application of more mature. With the in-depth study and found that the use of adaptive filter performance and anti-jamming signals on the tracking capability, could be more simple with the extraction of information, a coherent demodulation more common than ideal performance.    Through the adaptive algorithm for a variety of research and analysis and use of various algorithms Matlab a simulation.In this paper, include the following elements: Discussed the basic minimum square algorithm performance and step factor on the performance of algorithm.  The adaptive filter is widely used nowadays．Based on the LMS adaptive algorithm，the performance of adaptive filter is determined by its order and self-adaptive step size，which influence the convergence rate，calculation complexity and steady state error of the system．This paper analyzes the principle of LMS adaptive filter，studies the two parameters efect on the filtering perform ance separatelyLMS adaptive filter in the system identification, since the reunification process of adaptive predictor, noise cancellation, echo cancellation and the DS system to achieve the application of pseudo-synchronous code, using a Matlab programming simulation and analysis.

Keywords：LMS algorithm; adaptive filter; Matlab; Application Simulation

目錄
目錄 1
摘  要 I
ABSTRACT II
1  緒論 3
1.1課題背景 3
1.2 自適應(yīng)濾波應(yīng)用發(fā)展趨勢及課題意義 3
1.3本論文研究的主要內(nèi)容 4
1.3.1LMS算法步驟 4
1.3.2MATLAB相關(guān)內(nèi)容 5
2  基于LMS的自適應(yīng)濾波器 7
2.1自適應(yīng)濾波的基本原理 7
2.2  LMS算法原理 7
2.3  針對LMS算法各參數(shù)的討論 8
2.4  LMS算法推導(dǎo) 9
3  LMS自適應(yīng)濾波器的應(yīng)用及仿真 11
3.1引言 11
3.2系統(tǒng)辨識與Maltab仿真 11
3.2.1系統(tǒng)和模型 11
3.2.2辨識建模的定義 12
3.2.3系統(tǒng)辨識原理 13
3.2.3 Matlab仿真 13
3.3自回歸過程的自適應(yīng)預(yù)估器 15
3.3.1自回歸模型 15
3.3.2 Matlab仿真 15
3.4噪聲抵消與Maltab仿真 18
3.4.1 自適應(yīng)噪聲抵消基本理論 18
3.4.2 Matlab仿真與結(jié)果分析 21
3.5回聲抵消與Maltab仿真 25
3.5.1線路回聲 25
3.5.2 線路回聲抵消器 25
3.5.3 Matlab仿真 26
3.6本章小結(jié) 29
4  實驗分析和總結(jié) 30
4.1總結(jié) 30
參考文獻 31