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检索条件"主题词=iterative algorithm"

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DISTRIBUTED PROCESSING algorithmS FOR WIRELESS SENSOR NETWORKS HAVING FAST CONVERGENCE AND ROBUSTNESS AGAINST COUPLING NOISE

DISTRIBUTED PROCESSING ALGORITHMS FOR WIRELESS SENSOR NETWOR...

引用

2008 IEEE 10th International Symposium on Spread Spectrum Techniques and Applications (ISSSTA 2008), vol.1

作者： S. Barbarossa T. Battisti L. Pescosolido S. Sardellitti G. Scutari INFOCOM Dpt. University of Roma La Sapienza Rome Italy

Designing sensor networks with decentralized and autonomous decisions capabilities, i.e., without the need to send all the collected data to a fusion center, is a big challenge that is receiving considerable attention. One of the major drawbacks of distributed algorithms is their iterative nature. This makes them prone to an energy consumption that depends on the convergence time and on the power transmitted by each node to guarantee the network connectivity. Furthermore, in a realistic environment, the interaction among sensor is inevitably corrupted by noise which affects the final decision. In this work, we describe decentralized algorithms for implementing various processing tasks, from spatial smoothing to distributed decision, characterized by fast convergence properties, for a given network topology, and resilience against inter-sensor communication noise.

关键词： Convergence Noise Sparse matrices Polynomials Kernel Symmetric matrices iterative algorithm

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The Frequency Offset Correcting and Signal Demodulation of COFDM Systems

The Frequency Offset Correcting and Signal Demodulation of C...

引用

2010年中国通信国际会议

作者： Yongyu ZHANG The Communication Department of Naval Command,Beijing,China

The OFDM systems with the serial concatenated convolutional codes(SCCC)interleave the information random in the time field(COFDM).It is able to overcome the abrupt noises and enhance the performance of the whole system *** in the actual communication systems,the frequency offset deteriorates the performance of COFDM *** this problem becomes more complex,because the frequency offset is relative to the difference of frequency between transmitter and receiver and the Doppler shifts of channel those are *** paper combines the MAP decoding algorithm of SCCC with the expectation-maximization(EM)algorithm of tracking frequency offset(MAP-EM),and uses the feedback iterative technique to implement the estimate of both the frequency offset and *** technique can enhance the performance of systems,because it bases on the ML and the information could be helped each other between the OFDM *** simulations show that the more iterative the better performance of the tracking precision and the BER of whole systems.

关键词： COFDM Tracking frequency offset EM algorithm MAP decoding iterative algorithm

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A Cooperative Power Control Scheme for Two-user Gaussian Interference Channel

A Cooperative Power Control Scheme for Two-user Gaussian Int...

引用

IEEE Vehicular Technology Conference

作者： Liyuan Zhang Meng Ma Yongqiang Fei Yiming Lei Bingli Jiao School of Electronics Engineering & Computer Science Peking University Huawei Technologies Co. Ltd

ISBN: (纸本)9781538663592;9781538663585

In this paper, a cooperative power control scheme is proposed for two-user Gaussian interference channel (GIC) to mitigate the interference and improve the sum-rate. In the proposed scheme, codewords are divided into several segments. By jointly adjusting the power of each segment for the two users, the proposed scheme achieves a balance between increasing the entropy of signal and decreasing the entropy of interference, and thus maximizes the sum-rate. To solve the sum-rate maximization problem, an iterative algorithm combining both simulated annealing and gradient descent methods is also proposed. Numerical results show that the proposed scheme not only achieves higher sum-rate, but also provides better user fairness compared with the traditional schemes.

关键词： Gaussian interference channel Sum-rate maximization Rate region Cooperation power allocation iterative algorithm iterative algorithms Interference channels Power control Scheme Gauss simulated annealing interference interference

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A Grouped-iterative Framework for MIMO Detection

A Grouped-Iterative Framework for MIMO Detection

引用

IEEE Conference on Vehicular Technology (VTC)

作者： Di-You Wu Lan-Da Van Department of Computer Science National Chiao Tung University Hsinchu Taiwan

In this paper, we propose one grouped-iterative framework to generate a family of the MIMO detection algorithms. The presented framework not only includes the conventional iterative, grouped, and Chase detection algorithms, but also derives a new low-complexity MIMO detection algorithm. The proposed detection can adjust some parameters to achieve a range of trade-offs between performance and complexity. In (4,4) system with uncoded 16-QAM inputs, one instance of the proposed detection algorithm not only substantially reduces the multiplication complexity by 26.3% but also outperforms the BODF algorithm about 5 dB. Another instance of the proposed algorithm can save multiplication complexity by 34% at the penalty of 1 dB loss compared with the B-Chase detector.

关键词： Complexity theory Detection algorithms MIMO Artificial neural networks Detectors iterative algorithm Bit error rate

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A Domain Decomposition Charge Simulation Method for Calculation of Power-frequency Electric Field

A Domain Decomposition Charge Simulation Method for Calculat...

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China International Electrical and Energy Conference (CIEEC)

作者： Yongming Li Xiaowan Wang Yue Zhou Shengyu He Luwen Xu Anxin Zou State Key Laboratory of Power Transmission Equipment & System Security and New Technology Chongqing University Chongqing China State Grid Zhejiang Electric Power Training Center Hangzhou China State Grid Chongqing Electric Power Test & Research Institute Chongqing China

ISBN: (数字)9781728116754

ISBN: (纸本)9781728116761

The distribution of power frequency electric field caused by super-high level power transmission engineering is an important issue in evaluation of electromagnetic environment problem. The calculation of this field around power transmission facilities in complex environment using Charge Simulation Method (CSM) is sometimes out of action for the reason of not enough RAM. This paper put forward a domain decomposition CSM. This method divided the calculation region into several subdomains with some overlapped parts at the border first. Then CSM is applied to these subdomains respectively to get the distribution of simulation charges. The impact of the adjacent domain (boundary problem) is solved by using iterative method. Finally, the distribution of electric field in different domains can be calculated respectively with simulation charges obtained inside its own domain. This method is verified and it is applied to the analysis of power frequency electric field around 500kV transformers in 500kV substation. The results indicate that this method can speed up the calculation and decrease the requirement of RAM. This method provides an effective way to analyze the distribution of power frequency electric field with complex environment.

关键词： charge simulation method overlapping domain decomposition method iterative algorithm power frequency electric field transformer charge simulation method power frequency Transformer iterative algorithms Electric fields command service modules Colorado School of Mines Electricity Distribution Systems

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iterative row-column-file soft decision feedback equalizer for three-dimensional intersymbol interference channels

Iterative row-column-file soft decision feedback equalizer f...

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MILCOM, Military Communications Conference

作者： Xin Yang Krishnamoorthy Sivakumar Benjamin J. Belzer School of Electrical Engineering and Computer Science Washington State University Pullman WA USA

This paper presents a three-dimensional intersymbol interference (ISI) equalization algorithm employing turbo equalization for detection of 3D binary images in holographic storage systems. The algorithm scans the 3D received image along rows, columns, and files, and iteratively exchanges weighted soft information between maximum a posteriori (MAP) detectors for each scan direction until convergence is achieved. Each MAP detector exploits soft decision feedback from previously processed rows, columns, or files. An EXIT chart technique is proposed for efficient optimization of the weights applied to the log-likelihood ratios exchanged between MAP detectors. On the 2 × 2 × 2 averaging-mask channel, the proposed algorithm achieves performance within 2.0 dB of the maximum likelihood performance bound. The MAP detectors may be updated in parallel at little cost in system performance, allowing parallel implementation for increased execution speed.

关键词： Pixel Three dimensional displays Detectors Signal to noise ratio Optimization iterative algorithm Mutual information

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Study on modified PSO algorithm

Study on modified PSO algorithm

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International Conference on Natural Computation (ICNC)

作者： Dongyun Wang Fulin Fan Department of Electrical Engineering Zhongyuan University of Technology Zhengzhou Zhengzhou China

In order to improve the performance of the Particle Swarm Optimization (PSO) algorithm which weight was decreased linearly, a novel particle swarm optimization (NPSO) algorithm with dynamically changing inertia weight was presented. In each iteration process, the inertia weight of the improved algorithm was changed dynamically based on the current iteration and the best fitness. The new algorithm was tested with three benchmark functions. The experiments show that the disadvantages of slow speed on convergence and easy to be trapped in local optimum of the linearly decreasing weight of the PSO could be overcame by using the proposed PSO.

关键词： Particle swarm optimization Heuristic algorithms Equations Convergence IEEE services Birds iterative algorithm

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Gamma tomography with limited number of gamma beams

Gamma tomography with limited number of gamma beams

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International Conference on Modern Problems of Radio Engineering, Telecommunications and Computer Science

作者： Volodymyr Mosorov Dominik Sankowski Slawomir Lewandowski Computer Engineering Department Technical University of Lodz Poland

ISBN: (纸本)9789665536789

In this paper, a new algorithm of image reconstruction for gamma ray tomography (GRT) systems is presented. There are several approaches to image reconstruction process. The most common algorithms in GRT are iterative algorithms. The proposed software is based on the iterative Least Square Techniques algorithm. The software generates automatically a weight matrix for the chosen setup. Experimental results are shown.

关键词： Image reconstruction Tomography Solids Software algorithms Detectors Software iterative algorithm

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Optimum coordinate number of clusters and best clustering in fuzzy C-means

Optimum coordinate number of clusters and best clustering in...

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World Congress on Intelligent Control and Automation (WCICA)

作者： Shiwei Yu Kejun Zhu China University of Geoscience Wuhan Hubei China

A coordinate function of criteria on the basis of intra- and inter-distances in the fuzzy C-means (FCM) is proposed. iterative self-organizing data analysis technique algorithm (ISODATA) and discrete particle swarm optimization (PSO) are combined to form a PSO self-organizing data analysis technique algorithm (PSO-ISODATA), which is used to conduct the optimal computing of FCM. Compared to other methods, our method can be used not only to do optimal clustering but also to yield the optimum coordinate number of clusters and the corresponding optimal clustering without artificial interference according to the clustering criteria, given a preset number of clustering. PSO-ISODATA has a wide application. When other cluster criteria are adopted, only the fitness function is needed to be modified.

关键词： Clustering algorithms algorithm design and analysis Data analysis Production Cities and towns iterative algorithm Distance measurement

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Opportunistic collaborative beamforming with one-bit feedback

Opportunistic collaborative beamforming with one-bit feedbac...

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IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC)

作者： Man-On Pun D. Richard Brown H. Vincent Poor Department of Electrical Engineering Princeton University Princeton NJ USA Electrical Computer Engineering Department Worcester Polytechnic Institute Princeton University Worcester MA USA

An energy-efficient opportunistic collaborative beamformer with one-bit feedback is proposed for ad hoc sensor networks over Rayleigh fading channels. In contrast to conventional collaborative beamforming schemes in which each source node uses channel state information to correct its local carrier offset and channel phase, the proposed beamforming scheme opportunistically selects a subset of source nodes whose received signals combine in a quasi-coherent manner at the intended receiver. No local phase-precompensation is performed by the nodes in the opportunistic collaborative beamformer. As a result, each node requires only one bit of feedback from the destination in order to determine if it should or should not participate in the collaborative beamformer. Analytical results show that the received signal power obtained with the proposed beamforming scheme scales linearly with the number of available source nodes. Since the optimal node selection rule requires an exhaustive search over all possible subsets of source nodes, two low-complexity selection algorithms are developed. Simulation results confirm the effectiveness of opportunistic collaborative beamforming with the low-complexity selection algorithms.

关键词： Array signal processing Collaboration Peer to peer computing Gain Upper bound iterative algorithm Greedy algorithms

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