Description: A general decision rule for stochastic blind
maximum-likelihood OSTBC detection is derived.-A general decision rule for stochastic blindmaximum-likelihood OSTBC detection is derived. Platform: |
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Author: |
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Description: word文档对球形译码的理论原理和仿真结果进行了分析
1.sphereandML是主程序，性能接近最大似然ML检测，调用了spheredecode和spheredecodeinf两个子程序；
2.main_spheretoML是主程序，性能达到最大似然NL检测，调用了spheredecodetoML和spheredecodeinftoML两个子程序。-word document on the theory of spherical decoding theory and simulation results are analyzed 1.sphereandML are the main program, performance close to the maximum likelihood ML detection, call the spheredecode and two spheredecodeinf subprogram 2.main_spheretoML are the main program, to achieve maximum performance Ran Detect NL, call a subroutine spheredecodetoML and two spheredecodeinftoML. Platform: |
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Author:fudaiyu |
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Description: 《通信信道处理》课程设计，内容为MIMO系统的性能仿真分析，内含MIMO系统的构建、Rayleigh信道、AWGN干扰、QPSK调制解调等，按照IEEE格式全英书写，请大家多多指教-Performance Analysis of Maximum Likelihood Detection in a MIMO Antenna System.pdf Platform: |
Size: 304128 |
Author:Hongyuan Li |
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Description: echniques for multi-user detection in OFDM / MC-CDMA can be classified as linear or non-linear techniques. A number of these techniques have evolved from previous research for CDMA–based systems. The overlaying of OFDM with CDMA permits grouping of the received signals based on received power, and this fact is exploited by the techniques discussed below. This project is going to focus on some of the more recent advances in some of the non-linear multi-user detection (MUD) techniques. A brief summary of the various techniques are given below. (Maximum Likelihood detection is not discussed here because of the computation complexity involved.)-echniques for multi-user detection in OFDM/MC-CDMA can be classified as linear or non-linear techniques. A number of these techniques have evolved from previous research for CDMA–based systems. The overlaying of OFDM with CDMA permits grouping of the received signals based on received power, and this fact is exploited by the techniques discussed below. This project is going to focus on some of the more recent advances in some of the non-linear multi-user detection (MUD) techniques. A brief summary of the various techniques are given below. (Maximum Likelihood detection is not discussed here because of the computation complexity involved.) Platform: |
Size: 63488 |
Author:Todd |
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Description: 多天线系统的各种信号检测算法包括迫零，最小均方误差，最大似然，改进的最大似然等-A variety of multi-antenna systems signal detection algorithm, including zero-forcing, minimum mean square error, maximum likelihood, the improved maximum likelihood, etc. Platform: |
Size: 243712 |
Author:Ray |
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Description: 球形检测算法论文，性能接近最大似然算法，但是复杂度较低-Spherical detection algorithm paper, the performance near the maximum likelihood algorithm, but the complexity is low Platform: |
Size: 4191232 |
Author:王超 |
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Description: 《数字通信》(第4版)是数字通信领域的一本经典教材,通过对概率论及随机过程的复习,详细介绍了数字和模拟信源编码、数字调制信号和窄带信号与系统的特征、加性高斯白噪声中数字通信的调制和最佳调制与检测方法、基于最大似然准则的载波相位估计和定时同步的方法、不同信道模型的信道容量及随机编码、带限信道的信号设计、受到符号间干扰恶化信号的解调与检测问题、自适应信道均衡、多信道与多载波调制、扩展频谱信号和系统、衰落信道上的数字通信。 -" Digital communication" (4th edition) is a digital communications of a classic textbook in the field, through the review process, the probability of randomly addressed, details of the digital and analog source coding, digital modulation signal and the narrowband signal and system characteristics, additive white Gaussian noise in digital communication modulation and the best modulation and detection methods, based on maximum likelihood criterion of carrier phase estimation and time synchronization method, different channel model of channel capacity and random coding, band-limited channel signal design by ISI worse signal demodulation and detection, adaptive channel equalization, multi-channel and multi-carrier modulation, spread spectrum signals and systems, fading channel digital communications. Platform: |
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Author:ng |
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Description: 通信仿真，二元位信号通过加性高斯白噪声的信道，经过匹配滤波，最大后验概率和最大似然概率检测比较-Communication simulation, binary bits signals through the additive gaussian white noise, through the channel is matched filtering, maximum a posteriori probability and the maximum likelihood detection probability Platform: |
Size: 2048 |
Author:王峰 |
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Description: 高频雷达 目标检测 最大似然恒虚警方法 可用于weibull分布下的检测-High-frequency radar target detection maximum likelihood constant false police weibull distribution method can be used to detect under Platform: |
Size: 1024 |
Author:刘 |
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Description: Sphere decoding program. This is the sphere decoding algorithm to achieve maximum likelihood detection. It applies to OFDM and SC-FDE systems. Platform: |
Size: 1024 |
Author:金琦 |
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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. Platform: |
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Author:蜡笔 |
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Description: 代码中含有信号处理算法中应用到的模糊度函数（单频信号、线性调频信号）及最大似然检测和估计算法，findpeak为峰值寻找算法，M kay为Steven M.Kay一书中描述的最大似然算法-Maximum code contains signal processing algorithm applied to the ambiguity function (single-frequency signal, the chirp signal) and maximum likelihood detection and estimation algorithm, findpeak the peak finding algorithm, M kay is described in the book Steven M.Kay Likelihood Algorithm Platform: |
Size: 4096 |
Author:larry |
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Search - MAXIMUM LIKELIHOOD DETECTION