MIMO-OFDM Wireless Communications with MATLAB（pdf + code）
2021-07-16 00:55:06
4.83MB
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为了提高MIMO-OFDM系统的数据传输率和频谱利用率，提出一种新的自适应算法。该算法在保证信道质量所需误码率和总发射功率的前提下，按照各个子载波衰落程度动态地分配比特和功率，使系统的总数据传输速率最大。理论分析得出，该算法降低了系统运算复杂度，能很大地改善系统的整体性能。
2021-07-01 18:02:24
328KB
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MIMO-OFDM Wireless Coummunication with MATLAB代码整理，学习用。
2021-06-21 18:05:22
4.53MB
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MIMO-OFDM is a key technology for next-generation cellular communications (3GPP-LTE, Mobile WiMAX, IMT-Advanced) as well as wireless LAN (IEEE 802.11a, IEEE 802.11n), wireless PAN (MB-OFDM), and broadcasting (DAB, DVB, DMB). In MIMO-OFDM Wireless Communications with MATLAB®, the authors provide a comprehensive introduction to the theory and practice of wireless channel modeling, OFDM, and MIMO, using MATLAB® programs to simulate the various techniques on MIMO-OFDM systems.
* One of the only books in the area dedicated to explaining simulation aspects
* Covers implementation to help cement the key concepts
* Uses materials that have been classroom-tested in numerous universities
* Provides the analytic solutions and practical examples with downloadable MATLAB® codes
* Simulation examples based on actual industry and research projects
* Presentation slides with key equations and figures for instructor use
MIMO-OFDM Wireless Communications with MATLAB® is a key text for graduate students in wireless communications. Professionals and technicians in wireless communication fields, graduate students in signal processing, as well as senior undergraduates majoring in wireless communications will find this book a practical introduction to the MIMO-OFDM techniques.
2021-06-15 10:38:02
182KB
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《Channel Estimation for Gigabit Multi-user MIMO-OFDM Systems MIMO-OFDM Systems》为国外一博士论文，内附详细MATLAB代码。文章结构如下：
1 An Introduction to MIMO-OFDM Systems 3
1.1 Predicting the Emerging and Future Wireless Communications
Technologies . . . . . . . . . . . . . . . . .. . . . . . . . . . . 4
1.2 Chapter Summary . . . . . . . . . . . . . . . . . . . . . . . . 6
1.3 The MIMO-OFDM System Model . . . . . . . . . . . . . . . . . 9
1.4 The MIMO-OFDM Air Interface . . . . . . . . . . . . . . . . . 13
1.4.1 IQ Constellation Mapping . . . . . . . . . . . . . . . . . 13
1.4.2 Digital multitone/multi-carrier modulation . . . . . . . . 17
1.4.3 Maximum Likelihood Detection . . . . . . . . . . . . . . 19
1.5 The MIMO-OFDM Mapping/De-mapping Function . . . . . . . 23
1.5.1 Space-Frequency Coding . . . . . . . . . . . . . . . . . . 24
1.5.2 Spatial Multiplexing . . . . . . . . . . . . . . . . . . . . 27
1.6 Multi-user MIMO-OFDM . . . . . . . . . . . . . . . . . . . . . 29
1.7 Research Objectives of the Thesis . . . . . . . . . . . . . . .31
2 The Wireless Channel 33
2.1 Multipath Propagation . . . . . . . . . . . . . . . . . . . . 35
2.2 Tapped-Delay-Line System Model . . . . . . . . . . . . . . . . 37
2.2.1 Statistical Model of a Multipath Channel . . . . . . . . . 41
2.2.2 Bandlimited transmission . . . . . . . . . . . . . . . . . 45
2.2.3 Rayleigh Fading Channels . . . . . . . . . . . . . . . . . 48
2.3 Saleh-Valenzuela channel Model . . . . . . . . . . . . . . . . 50
2.4 Correlation of the channel gain parameters of MIMO antennas . 55
2.5 Chapter Summary . . . . . . . . . . . . . . . . . . . . . . . 57
3 Coherent Detection for MIMO-OFDM Systems 61
3.1 OFDM Equalization . . . . . . . . . . . . . . . . . . . . . . 62
3.2 SISO-OFDM Channel Estimation . . . . . . . . . . . . . . . . . 68
3.2.1 One Dimensional Channel Estimation . . . . . . . . . . . 70
3.2.2 Two Dimensional Channel estimation . . . . . . . . . . . 73
3.3 MIMO-OFDM Channel Estimation . . . . . . . . . . . . . . . . 77
3.3
2021-06-12 15:51:08
2.37MB
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