• Title/Summary/Keyword: 트랙간 연관

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Multipath Track Association Technique using Characteristics of Conical Bearing in Horizontal Line Array Sonar (수평 선배열 소나의 원추각 특성 기반 다중경로 트랙 연관 기법)

  • Raegeun Oh
    • Journal of the Korea Institute of Military Science and Technology
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    • v.27 no.2
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    • pp.156-166
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    • 2024
  • This paper conducts a study on methods for associating multipath tracks received by a horizontal line array sonar. The horizontal line array sonar introduces conical bearing ambiguities due to its array-shaped characteristics. Target signals are often subject to multipath propagation in the ocean, resulting in errors in target bearing estimation due to these bearing ambiguities. Recent research efforts have been directed toward using multipath tracks to estimate the positions of targets. However, there has been a lack of research dedicated to identifying multipath tracks from the measurements of a horizontal line array sonar. Therefore, this study identifies the conical bearing characteristics of multipath signals based on the result of experiment and establishes criteria for associating multipath tracks. Additionally, Simulations are performed to determine the ability to associate multipath tracks.

Experimental Research on Radar and ESM Measurement Fusion Technique Using Probabilistic Data Association for Cooperative Target Tracking (협동 표적 추적을 위한 확률적 데이터 연관 기반 레이더 및 ESM 센서 측정치 융합 기법의 실험적 연구)

  • Lee, Sae-Woom;Kim, Eun-Chan;Jung, Hyo-Young;Kim, Gi-Sung;Kim, Ki-Seon
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.37 no.5C
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    • pp.355-364
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    • 2012
  • Target processing mechanisms are necessary to collect target information, real-time data fusion, and tactical environment recognition for cooperative engagement ability. Among these mechanisms, the target tracking starts from predicting state of speed, acceleration, and location by using sensors' measurements. However, it can be a problem to give the reliability because the measurements have a certain uncertainty. Thus, a technique which uses multiple sensors is needed to detect the target and increase the reliability. Also, data fusion technique is necessary to process the data which is provided from heterogeneous sensors for target tracking. In this paper, a target tracking algorithm is proposed based on probabilistic data association(PDA) by fusing radar and ESM sensor measurements. The radar sensor's azimuth and range measurements and the ESM sensor's bearing-only measurement are associated by the measurement fusion method. After gating associated measurements, state estimation of the target is performed by PDA filter. The simulation results show that the proposed algorithm provides improved estimation under linear and circular target motions.