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检索条件"主题词=Bp algorithm"

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Influence of the Stop-and-Hop Assumption on Synthetic Aperture Sonar Imagery 17

Influence of the Stop-and-Hop Assumption on Synthetic Apertu...

引用

IEEE 17th International Conference on Communication Technology (ICCT)

作者： Zhang, Xuebo Chen, Xiaohui Qu, Wu Sci & Technol Underwater Acoust Antagonizing Lab Zhanjiang Peoples R China

ISBN: (纸本)9781509039449

Stop-and-hop (S&H) assumption is usually exploited by most multiple receiver synthetic aperture sonar (SAS) imaging geometries, which are the basis of the SAS image formation algorithms. It is a reasonable approximation for the target focusing with a slow sonar platform speed. However, it is not suitable for the systems with a fast speed at far range as this assumption would deteriorate the target focusing performances. This paper firstly analyzes the error of S&H approximation in the 2-D space domain, which shows the necessity of the compensation for this approximation error. Based on back projection (bp) algorithm, simulated data is processed with and without the S&H approximation, respectively. The experiments are carried out with two sonar platform velocities, i. e. slow and fast sonar platform velocities. The processing results further indicate that the S&H error should be compensated when the system is operated with a fast speed.

关键词： multiple receiver synthetic aperture sonar the error S&H approximation bp algorithm

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An improved back-propagation algorithm applied to target recognition

An improved back-propagation algorithm applied to target rec...

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International Conference on Holography and Optical Information Processing (ICHOIP 96)

作者： Ge, Y Li, ZH Zhang, L He, AZ Lu, AM Department of Applied Physics Nanjing University of Science and Technology Nanjing 210094 China

ISBN: (纸本)0819422622

Despite of its slow learning time, back-propagation (bp) is one of the most widely used neural network training algorithms. In this paper, a nonlinear stretch method is presented that modifies the nonlinear activation function of bp algorithm to speed up the convergence. A invariant target recognition system based on bp neural network using this method and moment invariants is studied. Simulative recognitions on aircrafts and vehicles show that the speed of convergence is increased effectively.

关键词： bp algorithm nonlinear stretch target recognition moment invariance

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A Novel Decoding Scheme for Polar Code Using Convolutional Neural Network

A Novel Decoding Scheme for Polar Code Using Convolutional N...

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IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)

作者： Wen, Chen Xiong, Jian Gui, Lin Shi, Zhiping Wang, Yuwei Shanghai Jiao Tong Univ Dept Elect Engn Shanghai Peoples R China Elect Sci & Technol China Chengdu 611731 Peoples R China

ISBN: (纸本)9781728121505

Polar code is the first capacity-achieving channel coding scheme which has been selected for the next generation of wireless communication standard(5G). However, the traditional decoding schemes such as CA-SCIL, and bp algorithms cannot take into account both BER and latency performance. Inspired by the deep learning technology, we propose a scheme that combine convolutional neural network (CNN) with traditional Belief Propagation (bp) decoding. By exploiting noise correlation for channel decoding under colored noise environment, the proposed scheme can obtain a more accurate estimation of channel noise. We simulate the performance of the proposed scheme under bpSK and 4QAM modulation. For QAM modulation, a scheme that extend the conventional real-valued CNN technique to the complex-valued one is given. The results demonstrate that bit error rates (BER) performance can be improved after removing the estimated noise. Compare to the traditional Polar decoding schemes, the proposed scheme has better trade-off between BER and latency performance under colored noise environment.

关键词： bp algorithm colored noise convolutional neural network Polar code

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Investigation on SAR Imaging Characteristics of Submarine Mast and Its Breaking Waves

Investigation on SAR Imaging Characteristics of Submarine Ma...

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IEEE International Symposium on Antennas and Propagation / INC/USNC-URSI Radio Science Meeting (AP-S/INC-USNC-URSI)

作者： Deng, Yuxin Zhang, Min Jiang, Wangqiang Li, Jinxing Wang, Yun Xidian Univ Sch Phys Xian Peoples R China Wuhan Second Ship Design & Res Inst Wuhan Peoples R China

ISBN: (纸本)9798350369908;9798350369915

This paper presents a method to study the SAR imaging characteristics of a mast and the induced breaking waves. Based on the large eddy simulation (LES) method, the three-dimensional breaking waves caused by a submarine mast are simulated. The scattered field of the composite scene is calculated by the geometrical optics and physical optics (GO-PO) algorithm. Combined with the matched filtering and backward projection (bp) algorithm, a focused SAR image is simulated. Numerical results show that the wake structure can be detected by a SAR detector, which is valuable for the detection and identification of underwater targets.

关键词： breaking waves LES method GO-PO bp algorithm SAR imaging

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Low Complexity Decoding Scheme for LDPC Codes Based on Belief Propagation algorithm 10th

Low Complexity Decoding Scheme for LDPC Codes Based on Belie...

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10th European-Alliance-for-Innovation (EAI) International Conference on Wireless and Satellite Systems (WiSATS)

作者： Zhang, Wenshuo Zheng, Liming Wu, Yue Wang, Gang Liu, Aijun Harbin Inst Technol Commun Res Ctr Harbin Peoples R China

ISBN: (纸本)9783030191535;9783030191528

The low-density parity check codes (LDPC codes) are block codes whose performances are close to the Shannon limit. LDPC codes have the strong ability for error correction. The decoding algorithm of LDPC codes has a great influence on their performances. The belief propagation (bp) algorithm is a commonly used soft decision decoding algorithm. The algorithm decodes by information iterations, and its complexity does not increase rapidly with the increase of code length. This paper mainly analyze the probabilistic domain bp decoding algorithm, log-domain bp decoding algorithm and minimum sum decoding algorithm, the bit error performance of LDPC codes under bp algorithm is studied, and the influence of the number of iterations on the bp decoding algorithm is also shown by simulation results.

关键词： LDPC codes Soft decision decoding algorithm bp algorithm

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Reliability Management and Comprehensive Evaluation Method on Telecommunication Networks

Reliability Management and Comprehensive Evaluation Method o...

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1998 International Conference on Communication Technology

作者： Ding Kaisheng Liang Xiongjian Management Engineering Department Beijing University of Posts & Telecommunications

ISBN: (纸本)7800908275

The reliability of telecommunication networks is one of the most important quality *** this paper,based on the analysis of indicator system of telecommunication network reliability,a model is provided to evaluate the growth of telecommunication network reliability. In the evaluating model,how to determine the weight of every reliability indicator is a key *** combine the principal component analysis method with neural network method to determine the weight of every ***,an example of application of the evaluation model in a local network is given.

关键词： Reliability Management Reliability Indicator Evaluation Method bp algorithm

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A Study on Learning Mechanism for Neuron Networks with Weight-Function

A Study on Learning Mechanism for Neuron Networks with Weigh...

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5th International Conference on Machine Vision (ICMV) - algorithms, Pattern Recognition and Basic Technologies

作者： Huang Xi Weng Zong-huang Shi Wen-zao Wang Ping Fujian Normal Univ Inst Laser & Optoelect Technol Fujian Prov Key Lab Photon Technol Key Lab Optoelect Sci & Technol MedMinist Educ Fuzhou 350007 Peoples R China

ISBN: (纸本)9780819495884

In this paper a new neural network model with weight-function is proposed. In the model, the weight is a function with adjustable parameters, and the sum of these weight functions as the neuron output. And according to bp algorithm, the learning algorithm of feed-forward neural network with weight-function neurons is studied. Simulation results show that, applying the back-propagation algorithm to the new neural network the better convergence rate can be obtained and in some applications the new neural network based on the weight-function neurons is superior to the bp network based on the MP neuron model, so that it has a significant value in further research and application.

关键词： Weight-Function neural bp algorithm

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Adaptive beamforming technique based on neural network

Adaptive beamforming technique based on neural network

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International Conference on Engineering Technology and Applications (ICETA)

作者： Fan, Zehua Wilson, Jackson Grey, Alex Lib Huazhong Univ Sci & Technol Wuhan Hubei Peoples R China

ISBN: (纸本)9781315737515;9781138027053

Adaptive beamforming can achieve better SNR by varying the weights of each of the sensors used in the array. The traditional beamforming methods cannot achieve the optimal performance in beamforming because of the mismatch between the assumed array response and true array response. A radial basis function neural network algorithm has been proposed in this paper to solve this problem by turning the processing of calculating weighting of arrays to mapping processing. The simulation results indicate that the proposed method can adapt the weighting according to the direction of source signal automotive, and the SNR can be increased significantly with the DOA mismatch at 2 degrees.

关键词： adaptive beamforming radial basis function neural network bp algorithm

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Application of Belief Propagation to Trust and Reputation Management

Application of Belief Propagation to Trust and Reputation Ma...

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IEEE International Symposium on Information Theory (ISIT)

作者： Ayday, Erman Fekri, Faramarz Georgia Inst Technol Sch Elect & Comp Eng Atlanta GA 30332 USA

ISBN: (纸本)9781457705953

This paper introduces the first application of Belief Propagation (bp) in reputation systems. We view the reputation management as an inference problem, and hence, describe the reputation management problem as computing marginal likelihood distributions from complicated global functions of many variables. However, we observe that computing the marginal probability functions of the reputation variables is computationally prohibitive for large scale reputation systems. Therefore, we propose to utilize the bp algorithm to efficiently (i.e., in linear complexity) compute these marginal probability distributions;leading to a fully iterative probabilistic and bp-based approach (referred to as bp-ITRM). bp-ITRM describes the reputation system on a factor graph, using which we can obtain a qualitative representation of how the service providers (sellers) and consumers (buyers) are related. Further, by using such a graph representation, we compute the marginal probability distribution functions of the variables representing the global reputation values via an iterative message passing algorithm. We show that bp-ITRM significantly outperforms the well-known and commonly used reputation management schemes such as the Averaging Scheme, Bayesian Approach and Cluster Filtering in the presence of attackers. Further, its complexity is linear in the number of service providers and consumers, far exceeding the efficiency of other schemes.

关键词： bp algorithm Bayes methods Bayesian approach Belief propagation Complexity theory Filtering Peer to peer computing Probability distribution Robustness averaging scheme belief maintenance belief networks belief propagation cluster filtering factor graph inference problem iterative message passing algorithm iterative probabilistic marginal likelihood distribution marginal probability distribution function reputation management reputation system trust management

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Software Design for the Fault Diagnosis System of ATC Based on Neural Networks

Software Design for the Fault Diagnosis System of ATC Based ...

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21st Chinese Control and Decision Conference

作者： Liu, Liansheng Zhang, Jianfang Civil Aviat Univ China Basic Expt Ctr Tianjin 300300 Peoples R China

ISBN: (纸本)9781424427239

Because of the limitation of the expert system which is based on the rule, this text proposes introducing the neural network technology into the fault diagnosis system. Then we recommend the frame and the principle of the expert system. And at last, we complete the simulation experiment which indicates the rationality of this desin..

关键词： Fault Diagnosis Expert System Neural Network bp algorithm

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