极化码sc译码matlab代码
Polar-code-under-BEC-channel
#MATLAB
simulation
for
Polar
code
under
BEC
#参数设置：
#N：码长
#K：信息码码长
#Rate：码率
#A：信息码位置集合
#Ac：冻结比特位置集合
#u_a：冻结比特
#u：信源码
#G：生成矩阵
#x：编码码元
#y：接收码元
#decoded_output：接收码元译码结果
#decoded_output_message：信息码译码结果
#MATLAB文件说明：
#polar_simulation.m:将polar码系统仿真封装成函数，包括Polar码构造-编码-BEC信道-译码
#polar_codeconstruction.m:用于polar码构造
#Z_Bhattacharyya.m:计算巴氏参数
#polar_encode.m:polar码编码
#BEC.m:BEC信道
#init_LR.m:似然值初始化
#compute_lr.m:计算似然值
#decide.m:根据似然值做判决
#SC_decode.m:SC译码器
#polariz
2021-07-20 20:13:48
8KB
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FC-FS-4协议
This is t11 document T11/14-018V3
Project T11/2238-D Rev 1.10
f Incorporated T11/12-106v0 with Option 2 Corrections to FC-FS-4 for Dr. Alexandrov"(approved
by work group 16 April 2012)
g)Incorporated T1112-047v1Corrections to FC-FS-4 for T11710-427(approved by work group 16
April 2012
h)Removed double spaces throughout document
2021-07-06 09:17:26
2.87MB
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Towards 6G： Paradigm of Realistic Terahertz Channel Modeling.pdf
2021-07-04 09:04:38
7.81MB
golang 并行实践：通道 channel（2）（含）案例
https://daolizhe.blog.csdn.net/article/details/118413438
2021-07-02 18:00:15
4KB
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Thoroughly revised and updated, this second edition offers a fundamental and comprehensive treatment of how mobile systems operate in a variety of scenarios. This unrivalled approach concentrates on the properties of the radio channel, a vital and central feature that places fundamental limitations on the performance of radio systems.
Bringing the reader completely up-to-date, this book:
* Features two new chapters: 'Multipath Mitigation Techniques' and 'Radio System Planning'
* Surveys various alternative methods of predicting the mean signal strength and its variability, and discusses their applications
* Introduces ray-tracing methods in connection with indoor propagation
* Discusses multipath and its effects on narrowband and wideband systems
* Describes channel sounders and reviews methods of hardware and software simulation
* Examines man-made noise and interference and discusses the resulting performance degradation
By equipping the reader with a thorough understanding of the physical processes that underlie the propagation of radio waves, this systematic approach will prove to be an authoritative and attractive text for researchers, systems designers, university academics and postgraduate students.
2021-07-01 19:36:26
4.31MB
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xlinx LogiCORE IP Fibre Channel User Guide v3.4
2021-07-01 07:36:30
899KB
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Paper - Single Image Haze Removal Using Dark Channel Prior, 论文复现 - 基于暗通道先验的图像去雾算法
Reference Paper：
Single Image Haze Removal Using Dark Channel Prior - Kaiming He, Jian Sun, and Xiaoou Tang, Fellow, IEEE.
Algorithm demonstration：
Requirements:
* Matlab toolsbox
2021-06-28 09:53:55
6.88MB
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A class of aeronautical wide-band channel models
is proposed, featuring parking and taxi environments, takeoff
and landing situations, and en-route scenarios for ground–air
and air–air links. Typical and worst case parameter sets are
suggested, based on published measurement results and empirical
data. The models are suitable for channel emulators that can
be easily implemented on digital computers or in hardware and
thus are useful for the validation of digital aeronautical links.
A time-domain and frequency-domain implementation of such
a channel emulator are derived, and results for a typical multicarrier
system are presented. It is shown that the scenarios have
distinguishable performance results depending on the underlying
maximum ranges and shapes of the Doppler and delay spectra and
the presence of a line-of-sight path. Finally, the degrading effects
of intersymbol interference and intersubcarrier interference on
the multicarrier signal are explained.
2021-06-21 17:52:30
490KB
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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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