The final goal of communication is to transmit information without error from a transmitter to a receiver.However,a speech data transferred in the form of a signal is always interrupted/disturbed by interference or noise signals which cause the information to not be received clearly by the receiver.The study of signal processing has for a long time focused on this issue,in order to combat and eliminate the interference and noise signal perturbing the desired signal.An important technique called ... 

【文章來源】：華南理工大學廣東省 211工程院校 985工程院校 教育部直屬院校

【文章頁數(shù)】：71 頁

【學位級別】：碩士

【文章目錄】：
Abstract
Abbreviations
CHAPTER 1.INTRODUCTION
    1.1 Background
    1.2 Literature Review
        1.2.1 Adaptive Filtering Algorithms
        1.2.2 Adaptive Beamforming
    1.3 Problem Statement
    1.4 Research Objective
    1.5 Research Significance
    1.6 Thesis Organization
CHAPTER 2.ARRAY SIGNAL PROCESSING
    2.1 Sensor Array
    2.2 Types of Sensor Arrays
        2.2.1 Antenna Array
        2.2.2 Acoustic Array
    2.3 Beamforming
        2.3.1 Data-Dependent and Data-Independent Beamformer
        2.3.2 Broadband Beamformer and Narrowband Beamformer
CHAPTER 3.ROBUST ADAPTIVE BEAMFORMER WITH CONSTRAINT ON MAGNITUDE RESPONSE AND WORST-CASE OPTIMIZATION METHOD
    3.1 RAB-CMR
    3.2 RAB-CMR-WC
CHAPTER 4.IMPLEMENTATION OF BROADBAND SIGNAL ENHANCEMENT SYSTEM
    4.1 Generation of the Signals
    4.2 ULA receiving and transmitting the signals
    4.3 Fast Fourier Transform（FFT）
    4.4 Narrowband Adaptive Beamformer
    4.5 Inverse Fast Fourier Transform（IFFT）
CHAPTER 5.CONCLUSION AND FUTURE WORK
    5.1 Conclusion
    5.2 Future Work
Bibliography
攻讀碩士學位期間取得的研究成果
Acknowledgements
附件


【參考文獻】：
期刊論文
[1]Beamforming techniques for massive MIMO systems in 5G: overview, classification, and trends for future research[J]. Ehab ALI,Mahamod ISMAIL,Rosdiadee NORDIN,Nor Fadzilah ABDULAH.  Frontiers of Information Technology & Electronic Engineering. 2017(06)



本文編號：2973341