• Title/Summary/Keyword: 협대역 적응 필터

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Adaptive Multi-User Detection BISP Algorithm in DS/SS Communication (DS/SS 통신에서 BISP 알고리즘을 이용한 적응 다중 사용자 검출)

  • 석경휴;나기창;임영진;이성빈;배철수;나상동
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2002.05a
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    • pp.142-146
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    • 2002
  • 직접 대역 확산 통신 방식에서 처리 이득에 비해 강한 협대역 간섭 신호가 존재 할 때 성능 향상을 위하여 다중 사용자 탐지 기술(MUD)을 사용하여 간섭 신호 제고를 위한 신호 검출을 하였으며, 적응 접속 채널 배열 응답과 다중 사용자 검출을 하기 위하여 BISP 알고리즘을 제안하였다. 또한 CDMA 채널에서 MAI와 ISI 검출에 BISP 알고리즘 신호 흐름 형태를 파악하여, 신호대 간섭 비율(SIR)과 신호대 잡음비율(SNR)에서 시간에 따른 비트율를 평가 하였다. 제안한 BISP 알고리즘은 방사 특성에 시간 지연 효율이 절반 이상 차이가 나지만 채널 특성 따라서 입력 신호를 조정 할 수 있다. 그리고 매치 필터를 통과하면서 각 채널간의 간섭을 억제하고, 사용자 검출을 용이하게 처리할 수 있다.

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Narrowband Active Control of Noise in Thermal Power Plants (협대역 능동소음 제어기법을 이용한 화력발전소 소음제어)

  • 남현도;서성대;황정현
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.15 no.5
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    • pp.34-40
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    • 2001
  • In this paper, a narrowband active noise control system to reduce the noise in thermal power plants is proposed. The narrowband active noise control system contains rectangular wave generator and has a multi channel feed forward adaptive algorithms which uses the adjoint LMS algorithm. Although the effectiveness have been proven in the filtered-X LMS broadband active noise control system, this algorithm has much more computational complexity than that of narrowband active noise control system. The proposed active control system that uses the adjoint LMS algorithm, compared to the previous broadband active noise control system, not only is more effective in controlling narrowband noise but also has a more stable structure. Adaptive filter contains the FIR structure and IIR structure for primary and secondary path models. The simulation proves the effectiveness of the proposed algorithm.

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A Study on Automatic Seam Tracking using Vision Sensor (비전센서를 이용한 용접선 자동추적에 관한 연구)

  • 조택동;양상민;전진환
    • Journal of Welding and Joining
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    • v.16 no.6
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    • pp.68-76
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    • 1998
  • A CCD camera with a laser stripe was applied to realized the automatic weld seam tracking. The 3-dimensional information obtained from the vision system made it possible to generate the weld torch path. The adaptive Hough transformation was used to extract laser stripes an to obtain specific weld points. It takes relatively long time to process image on-line control using the basic control using the basic Hough transformation, but it has a tendency of robustness over the noises such as spatter. For this reason, it was complemented with adaptive Hough transformation to have an on-line processing ability for scanning specific weld points. The dead zone, where the sensing of weld line is impossible, was eliminated by rotating the camera with its rotating axis centered at the weld torch. When weld lines were detected, the camera angle was controlled in order to get the minimum image data for sensing of weld lines. Consequently, the image processing time was reduced.

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Novel Variable Step-Size Gradient Adaptive Lattice Algorithm for Active Noise Control (능동 소음 제어를 위한 새로운 가변 수렴 상수 Gradient Adaptive Lattice Algorithm)

  • Lee, Keunsang;Kim, Seong-Woo;Im, Jaepoong;Seo, Young-Soo;Park, Youngcheol
    • The Journal of the Acoustical Society of Korea
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    • v.33 no.5
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    • pp.309-315
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    • 2014
  • In this paper, a novel variable step-size filtered-x gradient adaptive lattice (NVSS-FxGAL) algorithm for active noise control system is proposed. The gradient adaptive lattice (GAL) algorithm is capable of controlling the narrow band noise effectively. The GAL algorithm can achieve both fast convergence rate and low steady-state level using the variable step-size. However, it suffers from the convergence performance for varying signal characteristic since the global variable step-size is equally applied to all lattice stages. Therefore, the proposed algorithm guarantees the stable and consistency convergence performance by using the local variable step-size for the suitable each lattice stage. Simulation results confirm that the proposed algorithm can obtain the fast convergence rate and low steady-state level compared to the conventional algorithms.