• Title/Summary/Keyword: Multi-target

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Development of Target Signal Simulator for Towed Line Array Sonar (선배열 예인음탐기 표적신호 시뮬레이터 개발)

  • Son, Kweon;Choi, Jae-Yong
    • Journal of the Korea Institute of Military Science and Technology
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    • v.6 no.3
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    • pp.36-43
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    • 2003
  • Multi-target away signal simulator which can simulate the radiated noises of maneuvering targets in a specified ocean range is an essential equipment for the validation of developed towed array sonar system. This simulator should provide realistic multi-channel signals those are required for beamforming on the signal processing unit of towed away system. This paper describes the overall system configuration and signal synthesis techniques for the target radiated noise. And this paper considers why the time delays between target and individual sensors are caused and how to compensate these time delays to individual sensors output. This multi-purpose target simulator could be used for the training of TASS operators.

A Study of LM-IHPDA Algorithm for Multi-Target Tracking in Infrared Image Sequences (적외선 영상에서 다수표적추적을 위한 LM-IHPDA 알고리듬 연구)

  • Kim, Tae Han;Choi, Byung In;Kim, Ji Eun;Yang, Yu Kyung;Song, Taek Lyul
    • Journal of Institute of Control, Robotics and Systems
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    • v.19 no.3
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    • pp.209-218
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    • 2013
  • Military surveillance systems with electro-optical sensors can be used to track a number of targets efficiently and reliably. In MTT (Multi-Target Tracking), joint events in which different tracks share the same measurements may occur. Measurement-to-track assignment are computationally challenging because of the number of operations increases exponentially with number of tracks and number of measurements. IHPDA (Integrated Highest Probability Data Association) based on a 2D-Assignment technique can find an optimal solution for measurement to track one-to-one assignments for complex environments. In this paper, LM-IHPDA (Linear Multi-Target IHPDA) which does not need to form all feasible joint events of association and thus the computational load is linear in the number of tracks and the number of measurements. Simulation studies illustrate the effectiveness of this approach in an infrared image environment.

Target Tracking Performance Verification of Surveillance Data Processing System for Air Traffic Control (항공관제용 감시자료처리시스템 항적 추적 성능 검증)

  • Eun, Yeonju;Jeon, Dae-Keun;Yeom, Chan-Hong
    • Aerospace Engineering and Technology
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    • v.11 no.2
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    • pp.171-181
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    • 2012
  • As a sub-system of an air traffic control system, SDP(Surveillance Data Processor) provides with the system tracks of aircraft using the surveillance sensor data from various air traffic surveillance sensors, such as radars. Therefore, the high accuracy of tracking results is a crucial requirement for safe flights, and verification of the required system performance of SDP is an essential step in development. Moreover, the quantitative evaluation of target tracking accuracy is important for newly developed SDP, since there are several tracking methods for Multi-Sensor Multi-Target Tracking, such as MRT(Multi Radar Tracking), inevitably required as the main function of SDP. In this study, definition of required system performances, establishment of test environment, and test results for MRT performance evaluation of SDP, which is being developed in KARI(Korea Airspace Research Institute) are presented.

Study of Target Tracking Algorithm using iterative Joint Integrated Probabilistic Data Association in Low SNR Multi-Target Environments (낮은 SNR 다중 표적 환경에서의 iterative Joint Integrated Probabilistic Data Association을 이용한 표적추적 알고리즘 연구)

  • Kim, Hyung-June;Song, Taek-Lyul
    • Journal of the Korea Institute of Military Science and Technology
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    • v.23 no.3
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    • pp.204-212
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    • 2020
  • For general target tracking works by receiving a set of measurements from sensor. However, if the SNR(Signal to Noise Ratio) is low due to small RCS(Radar Cross Section), caused by remote small targets, the target's information can be lost during signal processing. TBD(Track Before Detect) is an algorithm that performs target tracking without threshold for detection. That is, all sensor data is sent to the tracking system, which prevents the loss of the target's information by thresholding the signal intensity. On the other hand, using all sensor data inevitably leads to computational problems that can severely limit the application. In this paper, we propose an iterative Joint Integrated Probabilistic Data Association as a practical target tracking technique suitable for a low SNR multi-target environment with real time operation capability, and verify its performance through simulation studies.

Adaptive Multi-target Estimation Algorithm in an IR-UWB Radar Environment (IR-UWB 레이더 환경에서 적응형 다중 목표물 추정 알고리즘)

  • Yeo, Bong-Gu;Lee, Byung-Jin;Kim, Sueng-Woo;Youm, Mun-Jin;Kim, Kyung-Seok
    • Journal of Satellite, Information and Communications
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    • v.11 no.4
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    • pp.81-88
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    • 2016
  • In this paper, we propose an adaptive multi-target estimation algorithm using the characteristics of signals in the IR-UWB(Impulse-Radio Ultra Wideband) radar system, which is attracting attention because it has good transparency, robustness to the indoor environment, and high precision positioning of tens of centimeters. We proposed an algorithm that estimates multiple peaks with the characteristic that the signal reflected by the target has a peak. To verify the performance of these algorithms, multiple targets were placed in front of the radar and the existing technique and the multi - target estimation algorithm were compared. The location of the targets is estimated in real time with one transmitting antenna and one receiving antenna. The number of estimates can be increased compared with the existing peak signal derivation method, and multiple targets can be derived. The conventional technique estimates only one target, which results in a mean square error of 1 while a multi - target estimation algorithm yields a result of about 0.05. The proposed method is expected to be able to apply multiple targets to the estimation and application in one IR-UWB module environment.

A design of transmission-type multi-target X-ray tube based on electric field modulation

  • Zhao, Lei;Jia, Wenbao;Jin, Limin;Shan, Qing;Cheng, Can;Zhu, Hongkui;Hei, Daqian
    • Nuclear Engineering and Technology
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    • v.53 no.9
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    • pp.3026-3034
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    • 2021
  • Multi-target X-ray tube is a new type X-ray source, and can be applied in many fields such as sensitive X-ray fluorescence analysis and medical imaging. In this work, we report an electric field modulation multi-target X-ray tube, which contains four targets (Cr, Ni, Au, Mo) coated on a Beryllium (Be) window. A four-valve electric field deflector was developed to deflect the electron beam to bombard the corresponding targets. Particle dynamics analysis software was employed to simulate the particle tracking of electron beam. The results show that the 30 keV electron beam could get a 6.7 mm displacement on the target plane by 105 V/m electric field. The focus areas are about 2 mm × 5 mm and 4 mm × 2.5 mm after deflection in two directions. Thermal behavior calculated by ANSYS shows that the designed target assembly could withstand a 10 W continuous power. The optimum target thicknesses and emission spectra were obtained by Geant4 when the thickness of Be window was 300 mm and the electron beam incident angle was 0.141 rad. The results indicate that this multi-target X-ray tube could provide different X-ray sources effectively.

Multi-aspect Based Active Sonar Target Classification (다중 자세각 기반의 능동소나 표적 식별)

  • Seok, Jongwon
    • Journal of Korea Multimedia Society
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    • v.19 no.10
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    • pp.1775-1781
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    • 2016
  • Generally, in the underwater target recognition, feature vectors are extracted from the target signal utilizing spatial information according to target shape/material characteristics. In addition, various signal processing techniques have been studied to extract feature vectors which are less sensitive to the location of the receiver. In this paper, we synthesized active echo signals using 3-dimensional highlight distribution. Then, Fractional Fourier transform was applied to echo signals to extract signal features. For the performance verification, classification experiments were performed using backpropagation and probabilistic neural network classifiers based on single aspect and multi-aspect method. As a result, we obtained a better recognition result using proposed feature extraction and multi-aspect based method.

A Study on the TWS Tracking Filter for Multi-Target Tracking (다중표적 추적을 위한 TWS추적필터에 관한 연구)

  • 이양원;서진헌;이장규
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.41 no.4
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    • pp.411-421
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    • 1992
  • In the conventional track while scan (TWS) system, there are two major functions to be performed : detection and tracking. These two functions are normally designed and optimised independently. So TWS algorithm ignores the available decision features that can help in resolving the plot-to-track association ambiguity. Therefore conventional TWS system cna't track the targets in a densed multi-target environment. This paper presents a new TWS algorithm for multi-target track to solve the existing TWS system problem in clutter environment. The algorithm proposed in this paper is derived by modifying the part of joint probabilistic data association (JPDA) algotithm to get the one to one correspondence instead of multiple correspondence and combined with maneuvering detection logic so that it could also track the low maneuvering targets. Simulations to confirm the performance are done in crossing, parallel and maneuvering target. The proposed algorithm was successfully tracking targets above target situations.

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