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: |
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Author:chenpeng3361 |
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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: 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: 提出一种基于非采样contourlet变换的红外与可见光图像融合方法。高频系数结合活性度量和多分辨率系数间相关性来实现加权融合；低频系数通过局部梯度进行活性度量，再采用加权与选择相结合的规则。-Proposed a contourlet transform infrared and visible image fusion method based on non-sampling. The high-frequency coefficient binding activity to measure the correlation between multi-resolution coefficient weighted fusion activity measure low frequency coefficients of the local gradient, and then weighted and selection combining rules. Platform: |
Size: 449536 |
Author:张凡 |
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Description: 完成超宽带信号的发射和接收，接收端采用最大比合并、等增益合并、选择合并，最后比较三者的误比特性能。-The function of this module is to transmit the UWB signal and then receive the UWB signal by means of Maximal Ratio Combining, Equal Gain Combining and Selection Combining respectively. More important we have campared the bit error rate of the three methods. Platform: |
Size: 4096 |
Author:王方秋 |
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Description: a Matlab code that produces a plot of probability of bit error rate for QPSK versus SNR for three receive antennas, and three different combining methods: MRC, equal gain combining, and selection combining. The plot is generated by using Monte Carlo simulation. The SNR in this plot is the single-antenna average signal-to-noise ratio, and range from -5 dB to 15 dB. Platform: |
Size: 1024 |
Author:mozhii |
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Description: In this survey article, we compare the performance of single transmit antenna
selection (TAS) systems with different kinds of receiver schemes. These
systems include the TAS/switch-and-examine combining (TAS/SEC), TAS/SEC
with postselection (TAS/SECPS), TAS/generalized selection combining (TAS/
GSC). Platform: |
Size: 822272 |
Author:tan |
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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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Description: Abstract—Selection combining cascaded with maximum-ratio
combining (SC/MRC), which is particularly useful when site
diversity is available, combined with low-density parity-check
(LDPC) codes is able to combat the effects of fading. The biterror
rate (BER) expressions of uncoded SC/MRC and SC/MRC
with LDPC codes over an independent and identically distributed
Rayleigh-fading channel are derived based on the Gaussian
approximation approach. These expressions are also applicable
to the selection combining and maximum-ratio combining as
special cases. The derived expressions are in good agreement
with simulation results and approach the density evolution (DE)
thresholds. These expressions are able to achieve a significant
reduction in computational time with a reasonable accuracy for
analyzing the BER performance as compared to simulations and
DE.
Platform: |
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Author:ppdghius |
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Description: feather_stacker主要用于一个数据集提取多个特征时，对特征进行联合的算法。-In many real-world examples, there are many ways to extract features a dataset. Often it is beneficial to combine several methods to obtain good performance. This example shows how to use FeatureUnion to combine features obtained by PCA and univariate selection.
Combining features using this transformer has the benefit that it allows cross validation and grid searches over the whole process.
The combination used in this example is not particularly helpful on this dataset and is only used to illustrate the usage of FeatureUnion. Platform: |
Size: 1024 |
Author:申鹏 |
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Description: 对时变信道下差分放大-前向中继的选择性合并性能的研究，这是IEEE Transactions on Wireless Communications, 2014
一篇文章的对应仿真，是作者本人写的程序-Description simulation of the following paper:
M. R. Avendi and Ha H. Nguyen, Performance of Selection Combining for Differential Amplify-and- Forward Relaying Over Time-Varying Channels, IEEE Transactions on Wireless Communications, 2014
Required Products MATLAB
MATLAB release MATLAB 7.13 (R2011b)
Platform: |
Size: 12288 |
Author:xc |
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Description: In this paper we uate the performance of cooperative spectrum sensing (CSS) where
each cognitive radio (CR) employs an improved energy detector (IED) with multiple antennas and
uses selection combining (SC) for detecting the primary user (PU) in noisy and faded sensing (S)
channels. We derive an expression for the probability of false alarm and expressions for probability
of missed detection in non-faded (AWGN) and Rayleigh faded sensing environments in terms of
cumulative distribution function (CDF). Each CR transmits its decision about PU via noisy and
faded reporting (R) channel to fusion center (FC).-In this paper we uate the performance of cooperative spectrum sensing (CSS) where
each cognitive radio (CR) employs an improved energy detector (IED) with multiple antennas and
uses selection combining (SC) for detecting the primary user (PU) in noisy and faded sensing (S)
channels. We derive an expression for the probability of false alarm and expressions for probability
of missed detection in non-faded (AWGN) and Rayleigh faded sensing environments in terms of
cumulative distribution function (CDF). Each CR transmits its decision about PU via noisy and
faded reporting (R) channel to fusion center (FC). Platform: |
Size: 720896 |
Author:suchita |
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Search - selection combining