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11th International Conference on Advanced Communication Technology

作者： Kang, Chulgyu Lee, Hyunjae Oh, Changheon Korea Univ Technol & Educ Sch Elect & Elect Engn Seoul South Korea

ISBN: (纸本)9788955191387

In this paper, the iteration localization algorithm that NLOS signal is iteratively removed to get the exact location in the wireless sensor network is proposed. To evaluate the performance of the proposed algorithm, TDOA location estimation method is used, and readers are located on every 150m intervals with rectangular shape in 300m X 300m searching field. In that searching field, the error distance is analyzed according to increasing the number of iteration, sub-blink and the estimated sensor node locations which are located in the iteration range. From simulation results, the error distance is diminished according to increasing the number of the sub-blink and iteration with the proposed location estimation algorithm in NLOS environment. Therefore, we confirm that, to get more exact location information in wireless sensor network in NLOS environments, the proposed location estimation algorithm removing NLOS signal effects through iteration scheme is suitable.

关键词： localization algorithm TDOA Sensor Network Sensor positioning

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Hands-free continuous speech recognition in noise using a speaker beam-former based on spectrum-entropy

Hands-free continuous speech recognition in noise using a sp...

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IEEE International Conference on Acoustics, Speech, and Signal Processing

作者： George, N Evangelos, D Univ Patras Dept Elect & Comp Engn Patras 26500 Hellas Greece

ISBN: (纸本)0780374029

Detection of the speaker position is a crucial task in hands-free speech recognition applications. In this paper we present a novel speech beam-former for noisy environments. Initially, the localization algorithm extracts a set of candidate directions of the signal sources using array signal processing methods in the frequency domain. Then, a minimum variance (MV) beam-former identifies the speech signal in the direction where the signal's spectrum entropy is minimized, The proposed method is evaluated by a phoneme recognition system using noise recordings from an air-condition fan and the TIMIT speech corpus. Extended experiments, carried out in the range of 25-0 dB, show almost perfect estimation of the speaker DOA in all cases. As a consequence, the recognition rate increases significantly compared to the rate obtained by a single microphone. The recognition improvement increases especially in very low SNRs.

关键词： speech recognition interference suppression minimum entropy methods spectral analysis array signal processing direction-of-arrival estimation acoustic noise acoustic signal processing hands-free continuous speech recognition speaker beamformer speaker position detection phoneme recognition system noise recordings air-condition fan TIMIT speech corpus speaker DOA estimation minimum variance beamformer spectrum entropy minimization speech beamformer localization algorithm signal sources array signal processing

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Node localization based on Anchor Placement using Fuzzy C-Means in a Wireless Sensor Network

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INTERNATIONAL JOURNAL OF ELECTRONICS AND TELECOMMUNICATIONS 2023年第1期69卷 99-104页

作者： Irid, Sidi Mohammed Hadj Hadjila, Mourad Hachemi, Mohammed Hicham Souiki, Sihem Mosteghanemi, Reda Mostefai, Chaima Univ Abou Bekr Belkaid Tlemcen Fac Technol Dept Telecommun Tilimsen Algeria Univ Sci & Technol Oran Mohamed Boudiaf USTO MB Fac Elect Engn Dept Elect Oran Algeria Univ Belhadj Bouchaib Fac Technol Dept Telecom Ain Temouchent Algeria

localization is one of the oldest mathematical and technical problems that have been at the forefront of research and development for decades. In a wireless sensor network (WSN), nodes are not able to recognize their position. To solve this problem, studies have been done on algorithms to achieve accurate estimation of nodes in WSNs. In this paper, we present an improvement of a localization algorithm namely Gaussian mixture semi-definite programming (GM-SDP-2). GM -SDP is based on the received signal strength (RSS) to achieve a maximum likelihood location estimator. The improvement lies in the placement of anchors through the Fuzzy C-Means clus-tering method where the cluster centers represent the anchors' positions. The simulation of the algorithm is done in Matlab and is based on two evaluation metrics, namely normalized root-mean-squared error (RMSE) and cumulative distribution function (CDF). Simulation results show that our improved algorithm achieves better performance compared to those using a predetermined placement of anchors.

关键词： -WSN localization algorithm anchors GM-SDP-2 WLS CRLB Fuzzy C-Means RMSE CDF

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A Review of Techniques for RSS-Based Radiometric Partial Discharge localization

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SENSORS 2021年第3期21卷 909-909页

作者： Upton, David W. Mistry, Keyur K. Mather, Peter J. Zaharis, Zaharias D. Atkinson, Robert C. Tachtatzis, Christos Lazaridis, Pavlos I. Swedish Inst Space Phys SE-981 Kiruna Sweden Oxford Space Syst Harwell OX11 0RL Berks England Univ Huddersfield Dept Engn & Technol Huddersfield HD1 3DH W Yorkshire England Aristotle Univ Thessaloniki Dept Elect & Comp Engn Thessaloniki 54124 Greece Univ Strathclyde Dept Elect & Elect Engn Glasgow G1 1XW Lanark Scotland

The lifespan assessment and maintenance planning of high-voltage power systems requires condition monitoring of all the operational equipment in a specific area. Electrical insulation of electrical apparatuses is prone to failure due to high electrical stresses, and thus it is a critical aspect that needs to be monitored. The ageing process of the electrical insulation in high voltage equipment may accelerate due to the occurrence of partial discharge (PD) that may in turn lead to catastrophic failures if the related defects are left untreated at an initial stage. Therefore, there is a requirement to monitor the PD levels so that an unexpected breakdown of high-voltage equipment is avoided. There are several ways of detecting PD, such as acoustic detection, optical detection, chemical detection, and radiometric detection. This paper focuses on reviewing techniques based on radiometric detection of PD, and more specifically, using received signal strength (RSS) for the localization of faults. This paper explores the advantages and disadvantages of radiometric techniques and presents an overview of a radiometric PD detection technique that uses a transistor reset integrator (TRI)-based wireless sensor network (WSN).

关键词： field trials localization algorithm partial discharge radiometric detection RSS WSN

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A Movement Control Policy Based On Probabilistic Coverage Model for Mobile Sensor Networks

A Movement Control Policy Based On Probabilistic Coverage Mo...

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7th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM)

作者： Yang, Zhi Li, Qian-Nan Yu, Min Peng, Ya-Li Jiangxi Normal Univ Coll Comp Informat Engn Nanchang 330022 Jiangxi Peoples R China Jiangxi Normal Univ Sch Software Nanchang 330022 Jiangxi Peoples R China

ISBN: (纸本)9781424462520

The design problems of localization algorithm, distribution density estimation and node's moving path for data collection in multi-layers mobile wireless senor network are investigated. To ensure estimating accurately the node density, this paper proposes a new movement control strategy for fusion nodes based on probabilistic coverage model. This method completed the unknown node localization through beacon nodes traversing the monitoring area, and estimated distribution density of nodes in the network based on probabilistic coverage model, and divided the nodes into groups as little as possible, and constructed the short path of the fusion node's data collection according to the centers of these limited groups. The results of the experiments indicated that the control policy of mobile fusion nodes can reduce greatly network energy, and prolong network lifetime.

关键词： Mobile wireless sensor network Probabilistic coverage model localization algorithm Data collection

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Joint Source and Relay Optimization for Multiuser MIMO Relay Communication Systems

Joint Source and Relay Optimization for Multiuser MIMO Relay...

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4th International Conference on Signal Processing and Communication Systems (ICSPCS)/12th International Symposium on DSP and Communication Systems (DSPCS)/9th Workshop on the Internet, Telecommunications and Signal Processing (WTSP)

作者： Khandaker, Muhammad R. A. Rong, Yue Curtin Univ Technol Dept Elect & Comp Engn Bentley WA 6102 Australia

ISBN: (纸本)9781424479078

In this paper, we design the source precoding matrices and the relay amplifying matrix of an amplify-and-forward multiuser multiple-input multiple-output (MIMO) relay communication system. The minimum mean-squared error (MSE) is taken as the design criterion. We propose an alternating technique to efficiently solve the nonconvex source and relay optimization problem. It is shown that both the optimal source and relay matrices have a beamforming structure. Simulation results demonstrate that the proposed source and relay design algorithms perform much better than the existing techniques in terms of both MSE and bit-error-rate.

关键词： IP fast restoration IP network IP networks localization algorithm proactive methods reactive methods routing tables telecommunication network routing

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Error Beacon Filtering algorithm Based on K-Means Clustering for Underwater Wireless Sensor Networks 8

Error Beacon Filtering Algorithm Based on K-Means Clustering...

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8th IEEE International Conference on Communication Software and Networks (ICCSN)

作者： Liu, Linfeng Du, Jingli Guo, Dongyue Southeast Univ Minist Educ Lab Comp Network & Informat Integrat Nanjing 211189 Jiangsu Peoples R China Nanjing Univ Posts & Telecommun Sch Comp Sci & Engn Nanjing 210003 Jiangsu Peoples R China

ISBN: (纸本)9781509017812

Due to the highly hostile and unpredictable underwater environments, some beacon nodes in Underwater Wireless Sensor Networks (UWSNs) tend to move or be damaged. Therefore, the unknown nodes will be positioned with larger error, which abases the value of data collected by sensor nodes. In order to solve the beacon error problem, this paper proposes an error beacon filtering algorithm based on K-means clustering. Firstly, the position of each beacon is calculated by an improved trilateration method, and then the beacon with the maximum positioning error is filtered out through K-means clustering algorithm. Simulation results suggest that this algorithm can detect almost all error beacons effectively.

关键词： underwater wireless sensor networks errorbeacon filtering localization algorithm K-means clustering

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A decision support system for the design of air quality monitoring networks

Environmental Software

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Environmental Software 1991年第1期6卷 55-60页

作者： Finzi, G. Zani, L. Zecchini, M. LITA Dipartimento di Elettronica Politecnico di Milano 20100 Milano Via Ponzio 34/5 Italy

This paper describes the prototype of a decision support system oriented to air pollution network designers. The purpose is to help the users in the choice of the number and localization of instruments in an assigned area. The criterion employed is to locate instruments so as to evidence concentrations exceeding law standards. AREM runs on IBM PC's or compatibles and provides the following outputs: the number and the localization of the monitoring stations, their efficiency coefficient, the global network efficiency, and finally the station coverages. The user can change the constraints of the problem and examine the resulting different solutions. One example is shown for the town of Piacenza and its sorrounding industrial area, located in Northern Italy. © 1991.

关键词： Air pollution Decision support system localization algorithm Monitoring network

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Error Analyzing for RSSI-based localization in Wireless Sensor Networks

Error Analyzing for RSSI-based Localization in Wireless Sens...

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7th World Congress on Intelligent Control and Automation

作者： Chen, Wanming Mei, Tao Sun, Lei Liu, Yumei Li, Yangming Li, Shuai Liang, Huawei Meng, Max Q. -H. Chinese Acad Sci Inst Intelligent Machines Hefei 230031 Peoples R China Univ Sci & Technol China Dept Automat Hefei 230027 Peoples R China Chinese Univ Hong Kong Dept Elect Engn Shatin Hong Kong Peoples R China Univ Sci & Technol China Dept Comp Sci & Technol Hefei 230026 Peoples R China

ISBN: (纸本)9781424421138

Analyzing the measuring errors of nodes using Received Signal Strength Indications (RSSI) method, such as the parameter error of RSSI theoretical model and the obstacle error between neighbor nodes, this paper proposed a localization algorithm based on analyzing of RSSI errors in wireless sensor networks called ERSSI. Based on the two errors mentioned, it got the online parameter changing method for RSSI theoretical model and reduced the effect of those small obstacles. We show by both theoretical analysis and simulations that this algorithm can get low localization errors when the size of obstacles is small.

关键词： wireless sensor networks localization algorithm RSSI errors analyzing

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Binaural noise reduction for hearing aids

Binaural noise reduction for hearing aids

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IEEE International Conference on Acoustics, Speech, and Signal Processing

作者： Hohmann, V Nix, J Grimm, G Wittkop, T Carl von Ossietzky Univ Oldenburg D-2900 Oldenburg Germany

ISBN: (纸本)0780374029

Noise reduction algorithms have been proposed that try to imitate some aspects of the binaural information processing in the human hearing system by using two microphones at both ears and a central processor. Based on a two channel input, it is theoretically possible to cancel one interfering directional noise source at a time. Due to the relatively large distance between microphones, it should additionally be possible to detect and cancel reverberation based on coherence measures. In practice however, no significant increase in speech intelligibility has been shown so far with these schemes in acoustically complex environments characterized by diffuse noise and reverberation. This paper summarizes these results for a review. Furthermore, a localization algorithm is introduced, which uses a statistical description of the binaural signal differences in order to increase the robustness in estimating sound source incident directions in noisy environments. Possible noise reduction schemes based on this localization algorithm are discussed.

关键词： acoustic noise interference suppression hearing hearing aids reverberation speech intelligibility statistical analysis direction-of-arrival estimation spatial filters channel bank filters acoustic signal processing binaural noise reduction hearing aids human hearing system reverberation cancellation coherence measures speech intelligibility localization algorithm statistical description sound source incident direction estimation spatial filter bank

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