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Generalized hough transform and ANN for subsurface cylindrical object location and parameters inversion from GPR data

Generalized hough transform and ANN for subsurface cylindric...

引用

2012 14th International conference on Ground Penetrating Radar, GPR 2012

作者： Li, Wei Zhou, Huilin Wan, Xiaoting Department of Electronic Information Engineering Nanchang University Nanchang Jiangxi China

ISBN: (纸本)9781467326636

targets location and parameter inversion are always active research field of Ground Penetrating Radar (GPR) and useful to address some challenges in civil and military applications. Since the amplitude and delay of receiving signal could correspondingly change due to varying of the dimension, and material of targets, permittivity of background. So, in this paper, we present a new framework integrated Generalized Hough Transform (GHT) with neural network to reconstruct their non-linear relationship and implement targets location and parameter inversion. the results based on simulated data demonstrate the high accuracy. ©2012 IEEE.

关键词： Location

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Phase-only Direct data Domain Adaptive processing Algorithm using Hybrid Genetic Algorithms

Phase-only Direct Data Domain Adaptive Processing Algorithm ...

引用

14th IEEE International conference on Communication Technology (ICCT)

作者： Zhu, Hu Deng, Lizhen Bai, Xiaodong Huazhong Univ Sci & Technol Inst Pattern Recognit & Artificial Intelligence Wuhan 430074 Peoples R China Huazhong Univ Sci & Technol Coll Elect & Elect Engn Wuhan 430074 Peoples R China

ISBN: (纸本)9781467321013;9781467321006

A phase-only adaptive processing based on direct data domain using hybrid genetic algorithms is presented. Considering practical application of the complex weight requires complex hardware system, the new algorithm phase-only adaptive processing based on direct data domain is presented to reduce the complexity requirement of system implementation. then a hybrid genetic algorithms combined genetic algorithm with local search algorithm is used to solve the phase-only adaptive weights. Experimental results show that the phase-only weights solved by a hybrid genetic algorithm not only form deep null in the direction of interferences, but also estimate the magnitude of the target signal accurately. the proposed algorithm achieves the purpose of interference suppression and detecting targets, as well as reduces the complexity of hardware implementation of the system greatly for engineer implement easily.

关键词： phase-only direct data domain genetic algorithms local search algorithm

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Wide-Band Radar signal Sampling and Reconstruction Based on Random Filter

Wide-Band Radar Signal Sampling and Reconstruction Based on ...

引用

14th IEEE International conference on Communication Technology (ICCT)

作者： Fang, Biao Huang, Gaoming Gao, Jun Naval Univ Engn Coll Elect Engn Wuhan 430033 Hubei Peoples R China

ISBN: (纸本)9781467321013;9781467321006

Wide-band radar, whose echo signal requires a lot of space for storage with the development of ultra wide band(UWB) technology, if using the conventional Nyquist sampling, however, the theory of compressive sensing (CS) enables the reconstruction of sparse signals from a small set of measurements, whereas the key point is the selection of the measurement matrix and the reconstruction algorithm. A method for radar processing based on CS is proposed in this paper. the measurement matrix is selected by random filter, which effectively reduces the number of non-zero elements in the measurement matrix. the simple Orthogonal Matching Pursuit (OMP) algorithm is chosen to reconstruct signal with less data storage and lower computational complexity. Finally, simulations are taken on testing the proposed method on LFM signals, and the results are provided to verify the performance of this method.

关键词： wideband signal compressive sensing random filtering orthogonal matching pursuit

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A Novel Approach to ML DOA Estimation Based on Eigenfiltering and Stochastic Search

A Novel Approach to ML DOA Estimation Based on Eigenfilterin...

引用

14th IEEE International conference on Communication Technology (ICCT)

作者： Wang, Cong Sun, Xiaoying Tsinghua Univ Dept Elect Engn Beijing 100084 Peoples R China Jilin Univ Coll Commun Engn Changchun Peoples R China

ISBN: (纸本)9781467321013;9781467321006

the paper proposes a novel approach that a new likelihood function is derived from observation data after filtered with eigenfilters, and hybrid gravitational search algorithm (H-GSA) optimization is collaboratively applied to maximum likelihood (ML) estimation of the direction of arrival (DOA) parameters of multiple signals impinging on a sensor array. this method prevents the ML estimation performances from deteriorating severely where the angular separation between signal sources is small and the SNR / sample size are low. Simultaneously due to the use of H-GSA, we make direct maximization of likelihood realistic in practice. In order to examine the performances of the proposed method, four kinds of situations are designed. Simulation results indicate that the proposed method offers significant performance enhancement at low signal to noise ratios, and hybrid GSA stochastic search technique is therefore efficient and reliable.

关键词： DOA maximum likelihood estimation eigenfilter GSA PSO signal processing

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A low complexity channel estimation approach of LTE downlink system

A low complexity channel estimation approach of LTE downlink...

引用

2012 IEEE 14th International conference on Communication Technology, ICCT 2012

作者： Wang, Subin Hu, Chunjing Peng, Tao Wang, Wenbo Wireless Signal Processing and Network Lab Ministry of Education Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9781467321013

Channel estimation is critical to receiver performance in the long term evolution (LTE) system. Reference signals are interspersed with data signals among the subcarriers to aid channel estimation. Linear minimum mean square error (LMMSE) channel estimation is an efficient approach to estimate the knowledge of channel with high complexity. this paper proposed a channel estimation approach based on singular value decomposition (SVD) for downlink channel in LTE system. Compared to the conventional algorithm, the proposed approach investigates the channel autocorrelation matrix respectively and substitutes it by small submatrices to reduce the complexity. the simulation result demonstrates that the complexity is significantly reduced with negligible performance degradation, so it could be a candidate of the channel estimation algorithm for downlink channel estimation in LTE system. © 2012 IEEE.

关键词： Singular value decomposition

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Learning Models for Speaker, Addressee and Overlap Detection from Multimodal Streams

Learning Models for Speaker, Addressee and Overlap Detection...

引用

14th ACM International conference on Multimodal Interaction (ICMI)

作者： Vinyals, Oriol Bohus, Dan Caruana, Rich Univ Calif Berkeley Berkeley CA 94720 USA

ISBN: (纸本)9781450314671

A key challenge in developing conversational systems is fusing streams of information provided by different sensors to make inferences about the behaviors and goals of people. Such systems can leverage visual and audio information collected through cameras and microphone arrays, including the location of various people, their focus of attention, body pose, the sound source direction, prosody, and speech recognition results. In this paper, we explore discriminative learning techniques for making accurate inferences on the problems of speaker, addressee and overlap detection in multiparty human-computer dialog. the focus is on finding ways to leverage within- and across-signal temporal patterns and to automatically construct representations from the raw streams that are informative for the inference problem. We present a novel extension to traditional decision trees which allows them to incorporate and model temporal signals. We contrast these methods with more traditional approaches where a human expert manually engineers relevant temporal features. the proposed approach performs well even with relatively small amounts of training data, which is of practical importance as designing features that are task dependent is time consuming and not always possible.

关键词： Multiparty turn taking multimodal systems multimodal inference addressee detection overlap detection speaker identification learning with multimodal temporally streaming data random forests

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Generalized Hough Transform and ANN for subsurface cylindrical object location and parameters inversion from GPR data

Generalized Hough Transform and ANN for subsurface cylindric...

引用

Proceedings of the International conference on Ground Penetrating Radar, GPR

作者： Wei Li Huilin Zhou Xiaoting Wan Department of Electronic Information Engineering Nanchang University Nanchang Jiangxi China

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Phase-only Direct data Domain Adaptive processing Algorithm using Hybrid Genetic Algorithms

Phase-only Direct Data Domain Adaptive Processing Algorithm ...

引用

2012 IEEE 14th International conference on Communication Technology

作者： Hu Zhu Lizhen Deng Xiaodong Bai Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology College of Electrical & Electronic Engineering Huazhong University of Science and Technology

ISBN: (纸本)9781467321006

A phase-only adaptive processing based on direct data domain using hybrid genetic algorithms is *** practical application of the complex weight requires complex hardware system,the new algorithm phase-only adaptive processing based on direct data domain is presented to reduce the complexity requirement of system *** a hybrid genetic algorithms combined genetic algorithm with local search algorithm is used to solve the phase-only adaptive *** results show that the phase-only weights solved by a hybrid genetic algorithm not only form deep null in the direction of interferences,but also estimate the magnitude of the target signal *** proposed algorithm achieves the purpose of interference suppression and detecting targets,as well as reduces the complexity of hardware implementation of the system greatly for engineer implement easily.

关键词： phase-only direct data domain genetic algorithms local search algorithm

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A Novel Approach to ML DOA Estimation Based on Eigenfiltering and Stochastic Search

A Novel Approach to ML DOA Estimation Based on Eigenfilterin...

引用

2012 IEEE 14th International conference on Communication Technology

作者： Cong Wang Xiaoying Sun Department of Electronic Engineering Tsinghua University College of Communication Engineering Jilin University

ISBN: (纸本)9781467321006

the paper proposes a novel approach that a new likelihood function is derived from observation data after filtered with eigenfilters,and hybrid gravitational search algorithm (H-GSA) optimization is collaboratively applied to maximum likelihood (ML) estimation of the direction of arrival (DOA) parameters of multiple signals impinging on a sensor *** method prevents the ML estimation performances from deteriorating severely where the angular separation between signal sources is small and the SNR / sample size are *** due to the use of H-GSA,we make direct maximization of likelihood realistic in *** order to examine the performances of the proposed method,four kinds of situations are *** results indicate that the proposed method offers significant performance enhancement at low signal to noise ratios,and hybrid GSA stochastic search technique is therefore efficient and reliable.

关键词： DOA maximum likelihood estimation eigenfilter GSA PSO signal processing.

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A Low Complexity Channel Estimation Approach of LTE Downlink System

A Low Complexity Channel Estimation Approach of LTE Downlink...

引用

2012 IEEE 14th International conference on Communication Technology

作者： SubinWang Chunjing Hu Tao Peng Wenbo Wang Wireless Signal Processing and Network Lab Key laboratory of Universal Wireless Communication Ministry of EducationBeijing University of Posts & Telecommunications

Channel estimation is critical to receiver performance in the long term evolution (LTE) *** signals are interspersed with data signals among the subcarriers to aid channel *** minimum mean square error (LMMSE) channel estimation is an efficient approach to estimate the knowledge of channel with high *** paper proposed a channel estimation approach based on singular value decomposition (SVD) for downlink channel in LTE *** to the conventional algorithm,the proposed approach investigates the channel autocorrelation matrix respectively and substitutes it by small submatrices to reduce the *** simulation result demonstrates that the complexity is significantly reduced with negligible performance degradation,so it could be a candidate of the channel estimation algorithm for downlink channel estimation in LTE system.

关键词： LTE,Channel Estimation,LS,LMMSE,SVD

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