Description: On the Energy Detection of Unknown Signals Over Fading ChannelsAbstract—This letter addresses the problem of energy detection of an unknown signal over a multipath channel. It starts with the no-diversity case, and presents some alternative closed-form expressions for the probability of detection to those recently reported in the literature. Detection capability is boosted by implementing both square-law combining and square-law selection diversity schemes. Index Terms—Diversity schemes, energy detection, fading channels, low-power applications, square-law detector, unknown signal detection. Platform: |
Size: 174453 |
Author:chenpeng3361 |
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Description: 本文在量子进化算法的基础上结合基于克隆选择学说的克隆算子,提出了改进的进化算法———量子克
隆进化策略算法(QCES) . 它既借鉴了量子进化算法的高效并行性又利用克隆算子来代替其中的变异和选择操作,以
增加种群的多样性,避免了早熟,且收敛速度快. 本文不仅从理论上证明了该算法的收敛,而且通过仿真实验表明了此
算法的优越性.-In this paper, quantum evolutionary algorithm based on the combination of clonal selection theory based on the cloning operator, made an improved evolutionary algorithm--- quantum cloning evolutionary strategy algorithm (QCES). It draws on quantum evolutionary algorithm and also makes use of parallelism and efficient cloning operator to replace one of the variation and selection of operation in order to increase population diversity to avoid premature, and fast convergence. This article is not only theoretically proved that the convergence of the algorithm, and through simulation experiments show the superiority of this algorithm . Platform: |
Size: 197632 |
Author: |
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Description: (书)现代通信系统使用MATLAB第三章-ALLIANCES is a recently proposed cooperative random access
protocol for wireless networks. In this paper we modify the
original model to include user location information. We also
derive pair-wise error probability (PEP) under Rayleigh flat
fading channel and a power-law attenuation environment.
Based on the PEP analysis we propose an optimal relay
selection scheme, which achieves significant throughput gains as
compared to the random relay selection scheme in the original
ALLIANCES. Platform: |
Size: 20480 |
Author:史志举 |
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Description: Script for computing the BER for BPSK modulation in a
Rayleigh fading channel with selection diversity
-Script for computing the BER for BPSK modulation in a
Rayleigh fading channel with selection diversity
Platform: |
Size: 1024 |
Author:mohanad1 |
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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: |
Size: 340992 |
Author:刘小洋 |
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Description: For computing the BER for BPSK modulation in a Rayleigh fading channel with selection diversity. Platform: |
Size: 1024 |
Author:smich |
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Description: Script for computing the BER for BPSK modulation in a
Rayleigh fading channel with selection diversity- Script for computing the BER for BPSK modulation in a
Rayleigh fading channel with selection diversity Platform: |
Size: 1024 |
Author:darrylrex |
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Description: 摘 要:提出一种新的基于Pareto多目标进化免疫算法(PMEIA)。算法在每一代进化群体中选取最优非支配抗体保存到记忆细胞文档中 同时引入Parzen窗估计法计算记忆细胞的熵值,根据熵值对记忆细胞文档进行动更新,使算法向着理想Pareto最优边界搜索。此外,算法基于点在目标空间分况进行克隆选择,有利于得到分布较广的Pareto最优边界,且加快了收敛速度。与已有算法相比, PMEIA在收敛性、多样性,以及解的分布性方面都得到很好的提高。-Abstract:This paperproposed a new pareto-based multi-object evolutionary mi mune algorithm(PMEIA). PMEIA selected
optmi alnon-dominated antibodieswhichwere then reserved inmemory cellarchive, and introducedParzenwindow to calculate
entropy ofmemory cells. Updated thememory cell archive according to entropy ofmemory cells. This guarantees the conver-
gence to the true Pareto fron.t Moreover, the performance of clone selection was dependent on distribution in the objective
space, whichwas favorable forgetting awidely spreadPareto frontand mi proving convergence speed. Comparedwith the exis-
ted algorithms, the obtained solutions ofPMEIA havemuch betterperformance in the convergence, diversity and distribution. Platform: |
Size: 276480 |
Author:王飞 |
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Description: five script.m for
1. BER in Rayleigh fading channel with MRC
2. BER in Rayleigh fading channel with EGC
3. BER in Rayleigh fading channel with selection
4. BER in Rayleigh fading channel with alamoutistbc
5. BER in Rayleigh fading channel with beamforming Platform: |
Size: 5120 |
Author:ahla |
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Description: 这个程序是三种分集合并方式的比较，选择合并，等增益合并，最大比值合并-This program gives the comparison of improvements offered by the 3 combining techniques, namely Selection Diversity, Equal Gain and Maximal Ratio. Platform: |
Size: 1024 |
Author:高肉 |
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Description: 基于selection diversity的bpsk BER 计算与性能分析- computing BER under the selection diversity for BPSK signal Platform: |
Size: 1024 |
Author:fang qian |
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Description: this the selection diversity technique, used for avoiding the effects of fading.-this is the selection diversity technique, used for avoiding the effects of fading. Platform: |
Size: 10240 |
Author:surender redhu |
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Search - selection diversity