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Description: Lattice Reduction Aided Detector for Spatial Multiplexing MIMO system. It is implemented by MATLAB.
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Size: 9216 |
Author: Junil Ahn |
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Description: this program is lattice reduction aided linear detection for MIMO system for 4-QAM
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Size: 1024 |
Author: venki |
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Description: Lattice reduction mimo detection
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Size: 25600 |
Author: leonardo |
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Description: lattice formulation with two stage verification for mimo systems
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Size: 292864 |
Author: Manavalan |
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Description: 多入多出(MIMO)系统可以获得比单发单收系统更高的容量，对于MIMO系统，最大似然检测是最优接收，但其
指数复杂度难以在实际中应用。针对该问题，结合格缩减理论提出了基于Householder变换的复数域格缩减算法，将该算法和
MIMO次优检测算法相结合，给出了量化判决方法，且该复数域格缩减算法复杂度小于实数域格缩减算法。仿真结果表明，
基于Householder变换复数域格缩减的MIMO次优检测算法，通过优化信道矩阵可以得到更好的判决域，取得了逼近最优最大
似然检测算法的性能。-Multi-input multi-output (MIMO) systems can achieve more capacity than single input single
output systems. For MIMO systems, maximum likelihood detection is the optimum detection but its exponential
complexity limits its application. In this paper, a complex lattice reduction algorithm based on householder
transform is proposed and combined with MIMO suboptimal detection algorithm. Moreover the complexity of this
complex lattice reduction algorithm is lower than that of real lattice reduction algorithm. Simulation results show
that MIMO suboptimal detection algorithm based on this complex lattice reduction can approach the optimum
performance of maximum likelihood detection by optimizing channel matrix to get better decision domain.
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Size: 914432 |
Author: 蜡笔 |
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Description: 在多输入多输出系统中的鲁棒球形译码的实现-We present a maximum-likelihood decoding algorithm for an
arbitrary lattice code when used over an independent fading channel with
perfect channel state information at the receiver. The decoder is based on
a bounded distance search among the lattice points falling inside a sphere
centered at the receved point. By judicious choice of the decoding radius
we show that this decoder can be practically used to decode lattice codes
of dimension up to 32 in a fading environement.
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Size: 146432 |
Author: 应杰 |
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Description: Modified LLL (MLLL) Lattice Reduction Algorithm
Original Paper: A Customized Lattice Reduction Multiprocessor for MIMO Detection
by Shahriar Shahabuddin et. al.-Modified LLL (MLLL) Lattice Reduction Algorithm
Original Paper: A Customized Lattice Reduction Multiprocessor for MIMO Detection
by Shahriar Shahabuddin et. al.
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Size: 8415232 |
Author: Eng samar |
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Description: MLLL for lattice reduction in MIMO system with QAM constellation -MLLL for lattice reduction in MIMO system with QAM constellation
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Size: 1024 |
Author: Eng samar |
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Description: 复数LLL算法源代码，对应论文Ying Hung Gan, Cong Ling, and Wai Ho Mow, Complex lattice reduction algorithm for low-complexity full-diversity MIMO detection, IEEE Trans. Signal Processing, vol. 57, pp. 2701-2710, July 2009. -LLL algorithm of lattice reduction for complex-valued lattices
Ying Hung Gan, Cong Ling, and Wai Ho Mow, Complex lattice reduction algorithm for low-complexity full-diversity MIMO detection, IEEE Trans. Signal Processing, vol. 57, pp. 2701-2710, July 2009.
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Size: 1024 |
Author: 熙阳 |
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Description: 1)football.m简单地以阵列形式显示一副图；
2）pre.m是心音信号过滤归一化预处理的过程；
3）wavlet.m是用db6小波进行信号的分解和重构，且求包络能量函数；
4）path.m是利用KKT条件的路径跟踪法，用于求解二次规划问题；
5）LRmmse是MIMO通信中常用检测方法，结合了最小均方误差准则和格基规约的知识。-1) football.m simply displays a graph in an array
2) pre.m is the process of normalized preprocessing of heart sound signal filtering
3) wavlet.m is a db6 wavelet for signal decomposition and reconstruction, and to find the envelope energy function
4) path.m is the path tracking method using KKT condition, which is used to solve the quadratic programming problem.
5) LRmmse is a commonly used detection method in MIMO communication, combining the knowledge of minimum mean square error criterion and lattice protocol.
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Size: 3072 |
Author: 成仁静 |
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Description: LR算法辅助的MIMO系统Zero Forcing检测。(A LR-aided MIMO system with Zero Forcing detection)
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Size: 6144 |
Author: 二胡蔡
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Description: 基于格基规约的MIMO信道接收,采用破零均衡译码，得到发送的信号(Based on the lattice based MIMO channel reception, the zero-forcing balanced decoding is used to get the transmitted signal.)
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Size: 10240 |
Author: xiaoyulom |
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Description: MMSE uses lattice reduction technique to improve the performance in multi user MIMO
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Size: 8758 |
Author: Neelima |
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