blind adaptive multiuser detection
Performance analysis of Matched and Blind Adaptive Multiuser Detection
... Blind multiuser detection for CDMA system with multipath channels has received much attention and interest ...phenomenon. Blind method for multiuser detection began with the work ...
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Blind linear multiuser detection for DS-CDMA wireless networks
... approach, multiuser detection does not treat MAI as structure-less Gaussian ...“blind” adaptive linear mul tiuser detection for Direct Sequence (DS) - CDMA ...The blind ...
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Adaptive Blind Multiuser Detection over Flat Fast Fading Channels Using Particle Filtering
... to multiuser systems is taken and we propose a novel time-observation state-space model ...PF-based multiuser detec- tion to be naturally blended with the mixture Kalman fil- tering for channel ...
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Development of a Multiuser Detection Testbed
... simulated blind adaptive MMSE detector is adapted to the system in ‘training’ mode during 25000 ‘convergence’ stage iterations and 10000 ‘av- eraging’ stage iterations, using a step size µ = 10 −4 for every ...
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Subspace Based Blind and Group Blind Space Time Multiuser Detection for the Generalized Multicarrier DS CDMA Uplink
... Multi-User Detection (MUD) [2], [3], [4], [5], [1], which is capable of essentially eliminating the effects of multiuser interference and hence has the potential of substantially increasing the capacity of ...
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BLIND CHANNEL ESTIMATION AND MULTIUSER DETECTION FOR MULTI-RATE CDMA COMMUNICATIONS
... several adaptive chip-level receiver structures based on the MMSE criterion [14], [15], [17] which process the samples obtained by chip-matched filtering followed by sampling at (a multiple of) chip ...that ...
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Iterative and Adaptive Processing for Multiuser Communication Systems
... data detection and degrades ...an adaptive multiuser single-carrier system where time-domain equalization is performed using a Kalman filter ...An adaptive receiver is created by embedding an ...
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Adaptive Near Optimal Multiuser Detection Using a Stochastic and Hysteretic Hopfield Net Receiver
... To carry out the detection, the detector algorithm needs the exact form of matrix R (see, e.g., (24)). Due to the un- known channel and noise, the elements of this matrix must be estimated recursively from the ...
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Adaptive Blind Multiuser Detection over Flat Fast Fading Channels Using Particle Filtering
... In this paper, we proposed to solve blind MUD over flat fast fading channels. We constructed a novel time-observation state-space model, based on which efficient particle filtering and stochastic M detectors were ...
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Simultaneous Principal Component Extraction with Application to Adaptive Blind Multiuser Detection
... We have previously studied the performance of the SIPEX-G algorithm and how it compares to several bench- mark algorithms, including Sanger’s rule [7], APEX [2], and LMSER [11], in two previous publications [12, 13]. ...
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Scheduling schemes with adaptive blind detection for code reuse in multiuser MIMO systems
... Linear multiuser techniques have been widely analyzed in the literature ...the adaptive blind receiver (ABR) [15], a blind adaptive version of the minimum-mean-square- error (MMSE) ...
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Turbo Multiuser Detection Architectures
... users. Multiuser detection addresses the problem of reliable demodulation of the signal of the desired user in the presence of multiple-access interference (MAI) created by the reception of signals from ...
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Neural Network based Minimization of BER in Multi-User Detection in SDMA
... Neural networks can be used for linear design, adaptive prediction, amplitude detection, character recognition and many other applications. This paper investigates the use of neural network based ...
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Adaptive Minimum BER Linear Multiuser Detection for DS CDMA Signals in Multipath Channels
... stochastic adaptive MBER algo- rithm from others, it will be called the difference approxima- tion adaptive MBER (DMBER) ...The adaptive algo- rithm reported in [9], which is called the approximate ...
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Burst by Burst Adaptive Multiuser Detection CDMA: A Framework for Existing and Future Wireless Standards
... tree-search detection [32]–[34] receivers have been proposed in the literature in order to reduce the com- plexity of the original maximum-likelihood (ML) detection scheme proposed by Verdú ...tree-search ...
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Unsupervised Machine Learning for Networking:Techniques, Applications and Research Challenges
... 2) TCP Optimization: Transmission Control Protocol (TCP) is the core end-to-end protocol in TCP/IP stack that provides reliable, ordered and error-free delivery of messages between two communicating hosts. Due to the ...
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Unsupervised Machine Learning for Networking:Techniques, Applications and Research Challenges
... traffic detection is described in [179] where a restricted Boltzmann machine based SVM is proposed for traffic detection, this paper model the de- tection as a classification ...
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Unfocused Raindrop and Fog Detection
... To detect the unfocused raindrop the essential thought behind the histogram of oriented gradients descriptor is that local object appearance and shape within an image can be described by the distribution of intensity ...
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An Unsupervised and Drift-Adaptive Spike Detection Algorithm Based on Hybrid Blind Beamforming
... Extracellular recordings with electrodes constitute one of the main techniques for acquiring data from the central nervous system in order to study the neuronal code. Information in this system is transmitted by short ...
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Joint Adaptive Modulation and Multiuser Downlink Scheduling-A Survey
... Diversity Combining is the technique of receiving redundantly the same information bearing signal over two or more fading channels, then combining these multiple reliable replicas at the receiver to increase the overall ...
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