• Title/Summary/Keyword: a multi-target

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A Novel Algorithm of Joint Probability Data Association Based on Loss Function

  • Jiao, Hao;Liu, Yunxue;Yu, Hui;Li, Ke;Long, Feiyuan;Cui, Yingjie
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.7
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    • pp.2339-2355
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    • 2021
  • In this paper, a joint probabilistic data association algorithm based on loss function (LJPDA) is proposed so that the computation load and accuracy of the multi-target tracking algorithm can be guaranteed simultaneously. Firstly, data association is divided in to three cases based on the relationship among validation gates and the number of measurements in the overlapping area for validation gates. Also the contribution coefficient is employed for evaluating the contribution of a measurement to a target, and the loss function, which reflects the cost of the new proposed data association algorithm, is defined. Moreover, the equation set of optimal contribution coefficient is given by minimizing the loss function, and the optimal contribution coefficient can be attained by using the Newton-Raphson method. In this way, the weighted value of each target can be achieved, and the data association among measurements and tracks can be realized. Finally, we compare performances of LJPDA proposed and joint probabilistic data association (JPDA) algorithm via numerical simulations, and much attention is paid on real-time performance and estimation error. Theoretical analysis and experimental results reveal that the LJPDA algorithm proposed exhibits small estimation error and low computation complexity.

Multi-axial Vibration Testing Methodology of Vehicle Component (자동차 부품에 대한 다축 진동내구 시험방법)

  • Kim, Chan-Jung;Bae, Chul-Yong;Lee, Dong-Won;Kwon, Seong-Jin;Lee, Bong-Hyun;Na, Byung-Chul
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2007.11a
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    • pp.297-302
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    • 2007
  • Vibrating test of vehicle component can be possible in lab-based simulators instead of field testing owing to the development of technology in control algorithm as well as computational process. Currently, Multi-Axial Simulation Table(MAST) is recommended as a vibrating equipment, which excites a target component for 3-directional translation and rotation motion simultaneously and hence, vibrational condition can be fully approximated to that of real road test. But, the vibration-free performance of target component is not guaranteed with MAST system, which is only simulator subjective to the operator. Rather, the reliability of multi-axial vibration test is dependent on the quality of input profile which should cover the required severity of vibrating condition on target component. In this paper, multi-axial vibration testing methodology of vehicle component is presented here, from data acquisition of vehicle accelerations to the obtaining the input profile of MAST using severe data at proving ground. To compare the severity of vibration condition, between real road test and proving ground one, energy principle of equivalent damage is proposed to calculate energy matrices of acceleration data and then, it is determined the optimal combination of special events on proving ground which is equivalent to real road test at the aspects of vibration fatigue using sequential searching optimal algorithm. To explain the vibration methodology clearly, seat and door component of vehicle are selected as a example.

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The Performance Analysis of MPDA in Out of Sequence Measurement Environment (Out of Sequence Measurement 환경에서의 MPDA 성능 분석)

  • Seo, Il-Hwan;Lim, Young-Taek;Song, Taek-Lyul
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.55 no.9
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    • pp.401-408
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    • 2006
  • In a multi-sensor multi-target tracking systems, the local sensors have the role of tracking the target and transferring the measurements to the fusion center. The measurements from the same target can arrive out of sequence called the out-of-sequence measurements(OOSMs). Out-of-sequence measurements can arise at the fusion center due to communication delay and varying preprocessing time for different sensor platforms. In general, the track fusion occurs to enhance the tracking performance of the sensors using the measurements from the sensors at the fusion center. The target informations can wive at the fusion center with the clutter informations in cluttered environment. In this paper, the OOSM update step with MPDA(Most Probable Data Association) is introduced and tested in several cases with the various clutter density through the Monte Carlo simulation. The performance of the MPDA with OOSM update step is compared with the existing NN, PDA, and PDA-AI for the air target tracking in cluttered and out-of-sequence measurement environment. Simulation results show that MPDA with the OOSM has compatible root mean square errors with out-of-sequence PDA-AI filter and the MPDA is sufficient to be used in out-of-sequence environment.

An Intersection Validation and Interference Elimination Algorithm between Weapon Trajectories in Multi-target and Multi-weapon Environments (다표적-다무장 환경에서 무장 궤적 간 교차 검증 및 간섭 배제 알고리즘)

  • Yoon, Moonhyung;Park, Junho;Yi, JeongHoon;Kim, Kapsoo;Koo, BongJoo
    • The Journal of the Korea Contents Association
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    • v.18 no.9
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    • pp.614-622
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    • 2018
  • As multiple weapons are fired simultaneously in multi-target and multi-weapon environments, a possibility always exists in the collision occurred by the intersection between weapon trajectories. The collision between weapons not only hinders the rapid reaction but also causes the loss of the asset of weapons of friendly force to weaken the responsive power against the threat by an enemy. In this paper, we propose an intersection validation and interference elimination algorithm between weapon trajectories in multi-target and multi-weapon environments. The core points of our algorithm are to confirm the possible interference through the analysis on the intersections between weapon trajectories and to eliminate the mutual interference. To show the superiority of our algorithm, we implement the evaluation and verification of performances through the simulation and visualization of our algorithm. Our experimental results show that the proposed algorithm performs effectively the interference elimination regardless of the number of targets and weapon groups by showing that no cross point exists.

A study of implementation of multi-target tracking system (다중 표적 추적기 실현화 연구)

  • 이양원;김영주;이봉기;김경기
    • 제어로봇시스템학회:학술대회논문집
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    • 1990.10a
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    • pp.837-841
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    • 1990
  • Track While Scan(DS) system which can track the multitargets in dense target environment is designed. There are three tasks to be performed: I) Target Detection and 'plot' formation, ii) Plot to track association and, iii) Track updatement. The conventional approach has been to tackle each of these tasks separately. This paper outlines a method for jointly optimizing all the three tasks and presents implementation aspects.

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Robust Generalized Labeled Multi-Bernoulli Filter and Smoother for Multiple Target Tracking using Variational Bayesian

  • Li, Peng;Wang, Wenhui;Qiu, Junda;You, Congzhe;Shu, Zhenqiu
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.3
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    • pp.908-928
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    • 2022
  • Multiple target tracking mainly focuses on tracking unknown number of targets in the complex environment of clutter and missed detection. The generalized labeled multi-Bernoulli (GLMB) filter has been shown to be an effective approach and attracted extensive attention. However, in the scenarios where the clutter rate is high or measurement-outliers often occur, the performance of the GLMB filter will significantly decline due to the Gaussian-based likelihood function is sensitive to clutter. To solve this problem, this paper presents a robust GLMB filter and smoother to improve the tracking performance in the scenarios with high clutter rate, low detection probability, and measurement-outliers. Firstly, a Student-T distribution variational Bayesian (TDVB) filtering technology is employed to update targets' states. Then, The likelihood weight in the tracking process is deduced again. Finally, a trajectory smoothing method is proposed to improve the integrative tracking performance. The proposed method are compared with recent multiple target tracking filters, and the simulation results show that the proposed method can effectively improve tracking accuracy in the scenarios with high clutter rate, low detection rate and measurement-outliers. Code is published on GitHub.

Track Initiation and Target Tracking Filter Using LiDAR for Ship Tracking in Marine Environment (해양환경에서 선박 추적을 위한 라이다를 이용한 궤적 초기화 및 표적 추적 필터)

  • Fang, Tae Hyun;Han, Jungwook;Son, Nam-Sun;Kim, Sun Young
    • Journal of Institute of Control, Robotics and Systems
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    • v.22 no.2
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    • pp.133-138
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    • 2016
  • This paper describes the track initiation and target-tracking filter for ship tracking in a marine environment by using Light Detection And Ranging (LiDAR). LiDAR with three-dimensional scanning capability is more useful for target tracking in the short to medium range compared to RADAR. LiDAR has rotating multi-beams that return point clouds reflected from targets. Through preprocessing the cluster of the point cloud, the center point can be obtained from the cloud. Target tracking is carried out by using the center points of targets. The track of the target is initiated by investigating the normalized distance between the center points and connecting the points. The regular track obtained from the track initiation can be maintained by the target-tracking filter, which is commonly used in radar target tracking. The target-tracking filter is constructed to track a maneuvering target in a cluttered environment. The target-tracking algorithm including track initiation is experimentally evaluated in a sea-trial test with several boats.

Strategy based PSO for Dynamic Control of UPFC to Enhance Power System Security

  • Mahdad, Belkacem;Bouktir, T.;Srairi, K.
    • Journal of Electrical Engineering and Technology
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    • v.4 no.3
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    • pp.315-322
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    • 2009
  • Penetration and installation of a new dynamic technology known as Flexible AC Transmission Systems (FACTS) in a practical and dynamic network requires and force expert engineer to develop robust and flexible strategy for planning and control. Unified Power Flow Controller (UPFC) is one of the recent and effective FACTS devices designed for multi control operation to enhance the power system security. This paper presents a dynamic strategy based on Particle Swarm Optimization (PSO) for optimal parameters setting of UPFC to enhance the system loadability. Firstly, we perform a multi power flow analysis with load incrementation to construct a global database to determine the initial efficient bounds associated to active power and reactive power target vector. Secondly a PSO technique applied to search the new parameters setting of the UPFC within the initial new active power and reactive power target bounds. The proposed approach is implemented with Matlab program and verified with IEEE 30-Bus test network. The results show that the proposed approach can converge to the near optimum solution with accuracy, and confirm that flexible multi-control of this device coordinated with efficient location enhance the system security of power system by eliminating the overloaded lines and the bus voltage violation.

Research on Synthesis of Radiation Noise from Moving Target (이동하는 표적의 방사소음 합성기법 연구)

  • 배재휘
    • Journal of the Korea Institute of Military Science and Technology
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    • v.3 no.1
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    • pp.58-65
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    • 2000
  • A target signal simulation method for passive sonar systems is introduced. The method uses multirate signal processing techniques to simulate moving target signals in the multi-path sound propagation environment by introducing Lloyd's mirror and Doppler effect. Time and frequency variation of target signal due to the target maneuvering is also considered to provide realistic ship signatures in the LOFAR gram so that the simulated target is used for sonar operator training. Synthesized target characteristics is analyzed and compared with real target signal in terms of interference pattern and frequency variation in the LOFAR gram.

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A Study on S.I.P(Shop Identity Program) Design method Task in Multi-used Shopping Complex. (복합상업공간의 점포 정위화 전략의 디자인 방법에 관한 연구)

  • 하재경
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.19 no.37
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    • pp.127-136
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    • 1996
  • Due to the development of technology, urbanization, industrialization, etd. at modern times, even the individual view of value has changed in variety. That means the change of each consumcer's life-style and even that of propensity to consume. In that regard, the modern, commercial space became to be increasingly included to specialization and complication. Such specialization and complication of the commercial space can be thought to be a positive response of enterprises to satisfy the needs or desire of consumers who become diversified. In this study, some new models in the method of the planning and designing of the S.I.P(Shop Identity Program). intended to research into as follows ; - As the background of the advent of the multi-used shopping complex, changes in consumer life-style and propensity to consume according to social and economical changes were intended to be studied through various statistical data literature. - For the study of the characteristics, constituent conditions, and planning operation of the future multi used shopping complex in the marketing aspect of enterprises, it was intended to study centered on the theory of consumer behavior and that of retail marketing. - In the process of the spatial design of the multi-used shopping complex, it was tried that a designing process to materialize a target of the discrimination and orderly arrangement of stores be progressed. In the process of materializing a target based on both corporate image and 'brand' image in designing.

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