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A new Monte Carlo mobile node localization algorithm based on Newton interpolation

EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING 2018年第1期2018卷 1页

作者： Lu, Jian-Yin Wang, Chao Chao Hu Univ Coll Informat Engn Hefei Anhui Peoples R China Anhui Xinhua Univ Coll Informat Engn Hefei Anhui Peoples R China

There are some deficiencies in the Monte Carlo localization algorithm based on rangefinder, which like location probability distribution of the k moment in the prediction phase only related to the localization of the k - 1 moment and the maximum and minimum velocity. And the influences of the motion condition on the movement of the mobile node at k moment are also not considered before the k - 1 moment. What is more is the process of selecting the effective particles is slow in the algorithm. Considering the situations above, this paper presented a Monte Carlo mobile node localization algorithm based on Newton interpolation, which uses the inheritedness of Newton interpolation, inheriting the historical trajectory prediction mechanism of the moving node to estimate the current moment's movement speed and movement direction of the moving node, and optimized the moving node motion model, and used particle filter that is optimized by weight of importance to prevent particle collection depletion. The inference and simulation results show that the algorithm has improved the accuracy of the forecast using Newton interpolation. And this algorithm has effectively avoided the degradation of particles and improved the localization accuracy.

关键词： Newton interpolation Monte Carlo localization algorithm

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Ultraviolet anti-collision and localization algorithm in UAV formation network

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OPTIK 2019年 192卷 162919-000页

作者： Zhao, Taifei Yu, Xuxu Liu, Ping Liu, Le Xian Univ Technol Sch Automat & Informat Engn Xian 710048 Shaanxi Peoples R China Hong Kong Polytech Univ Dept Elect & Informat Engn Hung Hom Kowloon Hong Kong 710048 Shaanxi Peoples R China

Ultraviolet (UV) Communication is a communication mode used 200nm (similar to)280nm wavelength ultraviolet light as an information carrier. It has the advantages of all-weather operations, non-lineof-sight (NLOS) communication with a wide field and strong anti-interference ability etc. Solar blind characteristics can achieve anti-collision in unmanned aerial vehicles (UAV) formation flying. The distance calculation formula for line-of-sight (LOS) and NLOS is analyzed. One kind of three dimensional (3D) localization algorithm based on wireless UV communication is put forward. UAVs need anti-collision and location methods to ensure flight safety when flying or performing tasks in a complex atmospheric environment. Computer simulation result shows that the ranging precision of UV ranging algorithm can reach 3m, The node localization accuracy rate of localization algorithm can reach more than 80%. Numerical simulation results show that the localization algorithm has a high location accuracy, which can meet the requirements of anti-collision in UAV formation.

关键词： Ultraviolet communication Non-line-of-sight (NLOS) localization algorithm Anti-collision UAV formation

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Impact localization of composite laminates based on four points localization algorithm of MXene/CNT sensors

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APPLIED PHYSICS A-MATERIALS SCIENCE & PROCESSING 2022年第10期128卷 925-925页

作者： Ying Wang Man Tiannan Lu, Shaowei Liu, Siyu Liu, Xinhua Shenyang Aerosp Univ SAU Coll Aerosp Engn Shenyang Peoples R China Shenyang Aerosp Univ SAU Coll Mat Sci & Engn Shenyang Peoples R China

Composite laminates are susceptible to impact damage during service, and some damage is invisible. So it is necessary to monitor the impact location on the surface of composite laminates. Novel carbon nanomaterials represented by carbon nanotubes and MXene films have unique nanoscale structures and excellent physical properties. Applying the carbon nanotubes (CNT) and MXene films to monitoring the damage area of composite laminates under impact. Laying sensor arrays within the monitoring range, a localization algorithm suitable for sensor arrays is proposed, which can accurately calculate and locate the impact position to the monitoring area. Then check the impact location area, detect damage in time, and avoid structural damage or even failure caused by accumulated damage. After the impact test, the sum of the resistance change rate of the sensor in the M-5 area is 0.6030, which is higher than the sum of the resistance change rate of other areas, and the impact point is determined to be in the M-5 area. The calculation results are completely consistent with the real impact area, which greatly improves the efficiency of detection and maintenance, and has certain engineering significance.

关键词： Impact area location Thin film sensor Sensor array localization algorithm

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Error-state Kalman filter-based localization algorithm with velocity estimation for deep-sea mining vehicle

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OCEAN ENGINEERING 2022年 264卷

作者： Xu, Wenhao Yang, Jianmin Wei, Handi Mao, Jinghang Lu, Haining Li, Xin Shanghai Jiao Tong Univ State Key Lab Ocean Engn Shanghai 200240 Peoples R China SJTU Sanya Yazhou Bay Inst Deepsea Technol Hainan 572024 Peoples R China Shanghai Jiao Tong Univ Inst Marine Equipment Shanghai 200240 Peoples R China

The deep-sea mining vehicle is one of the critical equipment of the deep-sea mining system, which is used to collect manganese nodules on the seafloor. When the deep-sea mining vehicles operates, a reliable localization system is essential. This study developed and validated a localization algorithm, named 'ESKF-slip', for deep-sea mining vehicles. The algorithm uses error-state Kalman filtering and incorporates velocity estimation using angle encoders, considering the effects of slip and sinkage. A localization system was established for a newly designed deep-sea mining vehicle named "Pioneer 1"based on the proposed localization algorithm. The hardware included an inertial measurement unit, an ultrashort baseline, a compass, and angle encoders of tracks, and the software framework was coded based on the Robot Operating System. Sea trials were performed in the South China Sea to validate the localization algorithm. The results show that the deep-sea mining vehicle could obtain accurate localization results in various complex navigations, demonstrating the feasibility and applicability of the proposed algorithm.

关键词： Deep-sea mining vehicle localization algorithm Error-state Kalman filter Vehicle slip Sea trial

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Research on localization algorithm of naval vessel for submarine based on bearing-range measurements

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Journal of Measurement Science and Instrumentation 2012年第1期3卷 10-13页

作者：崔旭涛杨日杰何友 Scientific Department of Naval Aeronautical Engineering Academy Yantai 264001China Information Fusion Institute of Naval Aeronautical Engineering Academy Yantai 264001China

Combined with naval vessel practical antisubmarine equipment of towed linear array sonar,a mathematical model of naval vessel localization for submarine based on bearing measurement was built,and localization algorithm was given to solve submarine movement *** errors were *** on localization model and algorithm,simulations were done to study the effect of factors such as initial distance between submarine and the naval vessel,submarine initial bearing angle measured by the naval vessel and submarine course on localization performance,and then simulation results were given and *** results have practical value to instruct real *** results show that different target movement situations have great influence on sonar detection and localization performance,so the reasonable choice of sonar position and detection bearing according to the target movement situation can improve sonar detection and localization performance to some degree.

关键词： naval vessel bearing measurement submarine localization error analysis localization algorithm

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Study of Improved DV-Hop localization algorithm in Wireless Sensor Network

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INTERNATIONAL JOURNAL OF ONLINE ENGINEERING 2013年第6期9卷 66-70页

作者： Wang, Jingxia Chen, Haisong Shenzhen Polytech Dept Elect & Commun Engn Shenzhen 518055 Peoples R China Shenzhen Polytech Ind Training Ctr Shenzhen 518055 Peoples R China

An improved method is put forward in this paper to settle the larger location error of the classic DV-Hop algorithm. The average hop size is corrected using the hop count based on both the local network connectivity and the global average hop size information of the network. The invalid result is defined and corrected based on the random number in a specified area at the same time. The simulation results show that the improved algorithm gets better localization accuracy than the classic algorithm and other existing improved algorithms. Moreover, it is simple and needs small amount of calculation. So it is a practical algorithm for nodes localization in wireless sensor network.

关键词： average hop size DV-Hop localization algorithm the invalid results

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A NODE localization algorithm BASED ON DISTRIBUTED CLUSTERING OF ANCHOR-FREE NODES

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CONTROL AND INTELLIGENT SYSTEMS 2016年第4期44卷 170-179页

作者： Wang Ming Chen Qingzhang Ningbo Dahongying Univ Coll Informat Engineer Ningbo Zhejiang Peoples R China Zhejiang Univ Technol Coll Comp Hangzhou Zhejiang Peoples R China

In this article, a node localization algorithm for estimating unknown node positions in wireless sensor networks is presented. The proposed algorithm is based on the distributed clustering of anchor-free nodes. In the absence of anchor nodes, clusters of these sensors are formed and relevant angular and distance measurements are taken. This is followed by two phases of nodes synchronization, in which gradual adjustments of orientation and coordinates are performed utilizing a technique similar to the time synchronization. As the final synchronization process converges, clusters coordinates are merged into an unified global coordinate system, thus completing the node localization task. Experiments show that in the case of randomly distributed nodes, the proposed algorithm achieves good performance in the areas of improved network coverage, minimized positioning error rate, and reduced communication overhead. Data show an improvement of 51.3% in network coverage in comparison to other industry-leading clustering algorithms. In addition, when the network node density is greater than 0.9, positioning error rate is reduced by an average of 22.3%.

关键词： Anchor nodes clustering localization algorithm wireless sensor networks

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Research on Beaconless localization algorithm in Wireless Sensor Networks

Research on Beaconless Localization Algorithm in Wireless Se...

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2014全国高性能计算学术年会

This paper presents CDAP algorithm,which is a beaconless node localization algorithm for wireless sensor networks..If non-beacon nodes exist,using of the improved clustering algorithm based on node density algorithm: ICAND algorithm to clustering,by the distributed localization method,combine the angle measurement and distance measurement,refer to the similar concept of time synchronization,gradually adjust the node position,and calculate all the coordinates of nodes in the regional coordinate *** show that the algorithm,in the case of randomly distributed nodes,CDAP algorithm has good performance in network coverage,positioning error and communication overhead rate,compared with clustering SPA algorithm which is *** network coverage is increased at least 51.3%.In addition,when the node density is larger than 0.9,the positioning error rate is reduced to 22.3% on the average.

关键词： Wireless Sensor Networks localization algorithm Beaconless Clustering

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A localization algorithm based on Beacon Error Problem in Underwater Wireless Sensor Network

A Localization Algorithm based on Beacon Error Problem in Un...

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2013 15th IEEE International Conference on Communication Technology

作者： Linfeng Liu Xiaoqi Wu Zhiwen Zhu Ningshen Zhang Ye Liu School of Computer Nanjing University of Posts and Telecommunications School of Internet of Things Nanjing University of Posts and Telecommunications Suzhou Institute for Advanced Study University of Science and Technology

Underwater wireless sensor networks(UWSNs) are the enabling technology for various underwater applications,and the interest in UWSNs is *** underwater environment is usually complex and hostile,and beacons are prone to move offsetting from their origin positions and underwater channel occurs error ***,the coordinates provided by some beacons for the localization of unknown nodes are possible to be *** positioning error of beacons will affect the accuracy of unknown nodes *** paper proposes a localization algorithm for beacon error *** error beacons are filtered via an iteration selection process,after which the localization is executed with traditional localization algorithm,such as Centroid or *** computation and complexity of algorithm is analyzed and is proven *** simulation results suggest that this algorithm can improve the positioning accuracy effectively by the filter of error beacons.

关键词： Underwater Wireless Sensor Networks localization algorithm Beacon Error Beacon Filtering

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Rapid Sniper localization algorithm for Small-Space Microphone Array

Rapid Sniper Localization Algorithm for Small-Space Micropho...

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2011年信息技术、服务科学与工程管理国际学术会议

作者： Xishuang ZHANG Jinshan GAO Hui YIN Department of Computer Science and Technology Beijing Jiaotong UniversityBeijingChina

The primary phenomena used in sniper detection are acoustic signals from the shock wave generated by a supersonic bullet and the muzzle blast produced by gun powder explosion at the gun *** algorithm in this paper relies on the time difference of arrival of the muzzle blast and the shock wave received by microphone *** measured data in this method include the shock wave arrival time and the time intervals between muzzle blast and shock wave detected by each *** set of data is sufficient for identifying the sniper's *** approach is well suitable for small wearable localization devices with small-space microphone array in which the distance between microphones is short.

关键词： sniper localization microphone array mach wave muzzle blast localization algorithm

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