內容簡介
在多用戶檢測和Turbo原理的啟發下,本文研究了多用戶多輸入多輸出正交頻分復用系統中的疊代干擾消除問題。本文介紹了一種利用線性匹配濾波器和卷積碼進行疊代干擾消除的多用戶檢測方案。這種組合的主要思想是簡單易實現和低複雜度。並行干擾消除被用來提高過載系統的多用戶接收性能,本文介紹了一種對數似然比轉換器,可以進一步提高從匹配濾波器輸出轉換的軟估計值的可靠性,通過仿真表明,該方法的誤碼率性能接近於兩用戶系統的*優解。
圖書目錄
Chapter 1 Introduction
1.1 Motivation
1.2 Single-user Detection vs Multiuser Detection
1.3 Underloaded System vs Overloaded System
1.4 Summary of Contributions
1.5 Outline of This Book
1.6 Conclusions
Chapter 2 Fundamental Techniques
2.1 MIMO Systems
2.1.1 Space-time Coding
2.1.2 Spatial Multiplexing
2.2 OFDM
2.2.1 Introduction of OFDM
2.2.2 OFDM System Model
2.3 MIMO OFDM Systems
2.4 Multiuser Detection
2.4.1 Matched Filter Detector
2.4.2 ZF Detector
2.4.3 MMSE Detector
2.4.4 ML Detector
2.4.5 Parallel Interference Cancellation
2.4.6 Performance Comparison between MUD Schemes
2.5 Convolutional Code
2.5.1 Convolutional Encoding
2.5.2 Convolutional Decoding
2.6 Turbo Code
2.6.1 Turbo Encoding
2.6.2 Interleaver
2.6.3 Turbo Decoding
2.7 EXIT Chart
2.8 Interleave-Division Multiple Access
2.9 Simulations
2.10 Conclusions
Chapter 3 Low Complexity Iterative Detection for Overloaded Multiuser MIMO OFDM Systems
3.1 Introduction
3.2 Turbo Multiuser Detection
3.3 System Model
3.4 Multiuser Receiver for AWGN Channels
3.4.1 Iterative PIC Receiver
3.4.2 Performance of Iterative PIC Receiver in AWGN Channels
3.5 Multiuser Receiver for Flat Fading Channels
3.5.1 Performance of Iterative PIC Receiver in Block Fading Channels
3.6 Multiuser Receiver for Frequency Selective Channels
3.6.1 Performance of Iterative PIC Receiver in Frequency Selective Fading Channels
3.7 Iterative Interference Cancellation (IIC) Receiver
3.7.1 LLR Scaling Factor
3.7.2 Iterative Interference Cancellation MUD
3.7.3 Iterative MAP MUD
3.7.4 Performance Comparison between Iterative MAP MUD and IIC MUD
3.8 Performance of IIC MUD