Description: DS-CDMA通信系统中的空时移动信道估计，原文发表在IEE PROCEEDING OF COMMUNICATION上-DS-CDMA system of space-time mobile channel estimation, Original published in the IEE, 0c OF COMMUNICATION Platform: |
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Author:吴美武 |
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Description: 《MIMO-OFDM关键技术的研究和完整仿真平台的建立》，建立了一个完整的MIMO-OFDM的仿真平台，为实际的硬件平台提供解决方案，给出性能评估。为建立这个完整的仿真平台，本文从MIMO-OFDM信号模型，提出系统实现的各个关键技术:帧同步和载波频偏估计、信道估计、采样同步和载波跟踪、空时/频编解码。- MIMO-OFDM key technology research and the establishment of a complete simulation platform , the establishment of a complete MIMO-OFDM simulation platform, for the actual hardware platform to provide solutions, given performance evaluation. For the establishment of the integrity of the simulation platform, this article from the MIMO-OFDM signal model, the system in all key technologies: frame synchronization and carrier frequency offset estimation, channel estimation, sampling synchronization and carrier tracking, space-time/frequency codecs. Platform: |
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Author:李继龙 |
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Description: 波达方向（DOA）估计的基本问题就是确定同时处在空间某一区域内多个感兴趣的信号的空间位置（即多个信号到达阵列参考阵元的方向角）。最早的也是最经典的超分辨DOA估计方法是著名的MUSIC方法.本研究报告给出改进music的实现步骤-Direction of Arrival (DOA) estimates the basic problem is to define the space at the same time in more than interested in a particular region of the spatial location of the signal (ie, multiple signals arrive at the array element reference to the direction of angle). The earliest and most classic super-resolution DOA estimation method is well-known MUSIC method. The present study is given to improve the realization of music steps Platform: |
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Author:张洪欣 |
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Description: 结合时空张量和总变差正则最小化的图像运动估计，以及超分辨率图像恢复-Combination of space-time tensor and the total variation is the smallest of the image motion estimation, as well as the super-resolution image restoration Platform: |
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Author:曾巧 |
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Description: 通过MATLAB软件；通过仿真得出性能曲线；从而比较bpsk的性能-The bit-error rate (BER) of binary phase-shift keying
in Rayleigh fading, using the Alamouti transmission scheme and
receiver selection diversity in the presence of channel-estimation
error, is studied. Closed-form expressions for the BER of log-likelihood
ratio selection, signal-to-noise ratio (SNR) selection, switchand-
stay combining selection, and maximum ratio combining are
derived in terms of the SNR and the cross-correlation coefficient
of the channel gain and its corrupted estimate. Two new selection
schemes, space–time sum-of-squares combining selection diversity
and space–time sum-of-magnitudes selection diversity, are
proposed and proven to provide almost the same performance as
SNR selection, but with much simpler implementations. The effects
of channel- Platform: |
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Author:刘小洋 |
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Description: 对一个使用了线性时空编码的多输入多输出系统的盲信道估计-Blind Channel estimation for MIMO systems using Linear Space time codes Platform: |
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Author:水林声 |
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Description: The channel estimation algorithm is based on a subspace approach. The method works only for identifiable STBCs (excluding >=1-rate STBCs). See publication [1] for more detail about the algorithm and the identifiability conditions. The zip file contains three m files.
- space_time_coding.m (perform space time coding)
- subspace_channel_estimation_STBC.m (channel estimation)
- one_shot.m (show an example)
To use these files, extract the three files in the same folder. Then, call the script one_shot in the matlab command window.
Reference:
[1] Ammar, N. Ding, Z. "Blind Channel Identifiability for Generic Linear Space-Time Block Codes" IEEE Transactions on Signal Processing Volume 55, Issue 1, Jan. 2007 Page(s):202 - 217-The channel estimation algorithm is based on a subspace approach. The method works only for identifiable STBCs (excluding >=1-rate STBCs). See publication [1] for more detail about the algorithm and the identifiability conditions. The zip file contains three m files.
- space_time_coding.m (perform space time coding)
- subspace_channel_estimation_STBC.m (channel estimation)
- one_shot.m (show an example)
To use these files, extract the three files in the same folder. Then, call the script one_shot in the matlab command window.
Reference:
[1] Ammar, N. Ding, Z. "Blind Channel Identifiability for Generic Linear Space-Time Block Codes" IEEE Transactions on Signal Processing Volume 55, Issue 1, Jan. 2007 Page(s):202- 217 Platform: |
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Author:kamini gupta |
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Description: It is a program for blind channel estimation for space time block codes in Multi- Input Multi Output aantennas Platform: |
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Author:bunny |
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Description: 这是一个基于空时分组编码的MIMO_OFDM通信系统的仿真设计。此系统包括QPSK调制解调，IFFT调制，空时编解码，基于训练符号的信道估计等通信模块。
-This is a space-time block coding based on the MIMO_OFDM Communication System Simulation and Design. This system consists of QPSK modulation and demodulation, IFFT modulation, space time coding and decoding, based on training symbols such as communication channel estimation module. Platform: |
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Author:小于儿 |
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Description: 这是一个基于空时分组编码的MIMO_OFDM通信系统的仿真设计,此系统包括QPSK调制解调，IFFT调制，空时编解码，基于训
练符号的信道估计等通信模块。
-This is a space-time block coding based on the MIMO_OFDM communication system simulation design, this system consists of QPSK modulation and demodulation, IFFT modulation, space-time coding and decoding, symbol-based channel estimation training and other communication module. Platform: |
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Author:邓昌文 |
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Description: 这是一个基于空时分组编码的MIMO_OFDM通信系统的仿真设计。此系统包括QPSK调制解调，IFFT调制，空时编解码，基于训练符号的信道估计等通信模块。希望对大家有帮助！
-This is based on the space-time block codes of MIMO_OFDM communication system simulation design. This system includes QPSK demodulation, IFFT modulation, space-time decoding, based on the training symbol of channel estimation and other communications module. We want to help! Platform: |
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Author:陈 |
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Description: MIMO-OFDM系统的matlab程序，包括QPSK调制解调、IFFT调制、空时编解码、基于训练符号的信道估计等通信模块-Matlab MIMO-OFDM system procedures, including QPSK modulation and demodulation, IFFT modulation, space-time coding and decoding, symbol-based channel estimation training and other communication module Platform: |
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Author:张日朗 |
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Description: Abstract—Diagonal Bell Laboratories Layered Space-Time (DBLAST)
structure offers a low complexity solution to realize the
attractive capacity of Multiple-input and multiple-output (MIMO)
systems. In this paper, we apply D-BLAST in orthogonal frequency
division multiplexing (OFDM) systems and address the issue of
channel estimation. Different other MIMO-OFDM, where
symbols at all tones are always available for decision-directed
channel estimation, in D-BLAST OFDM, we update estimated
channel parameters each time a layer is detected with a least
square (LS) approach, using a pieced combination of received signals
at previous and current OFDM blocks. The initial estimate is
further refined by a robust estimator to exploit the time correlation
of channel parameters among OFDM blocks. Computer simulation
results show the performance improvement over block-wise
channel estimation. It is also shown that D-BLAST with proposed
channel estimation is robust to fast fading of channel parameters.-Abstract—Diagonal Bell Laboratories Layered Space-Time (DBLAST)
structure offers a low complexity solution to realize the
attractive capacity of Multiple-input and multiple-output (MIMO)
systems. In this paper, we apply D-BLAST in orthogonal frequency
division multiplexing (OFDM) systems and address the issue of
channel estimation. Different other MIMO-OFDM, where
symbols at all tones are always available for decision-directed
channel estimation, in D-BLAST OFDM, we update estimated
channel parameters each time a layer is detected with a least
square (LS) approach, using a pieced combination of received signals
at previous and current OFDM blocks. The initial estimate is
further refined by a robust estimator to exploit the time correlation
of channel parameters among OFDM blocks. Computer simulation
results show the performance improvement over block-wise
channel estimation. It is also shown that D-BLAST with proposed
channel estimation is robust to fast fading of channel parameters. Platform: |
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Author:werad |
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Search - space time estimation