• Title/Summary/Keyword: multiple filter technique

검색결과 112건 처리시간 0.042초

다중채널 시스템을 위한 SDR 기술기반의 디지털 필터 기법 설계 및 구현 (Design and Implementation of SDR-based Digital Filter Technique for Multi-Channel Systems)

  • 유봉국;방영조;나성웅
    • 한국통신학회논문지
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    • 제33권5A호
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    • pp.494-499
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    • 2008
  • 본 논문은 SDR(Software Defined Radio) 기술을 기반으로 CDMA(Code Division Multiple Access) 방식의 이동전화 시스템과 같은 다중 채널 처리 시스템에서 특정 FA(frequency Assignment)만을 여파하여 처리하는 다양한 응용에 적용될 수 있는 디지털 필터 기법을 제안한다. 이 기법은 마이크로 프로세서를 이용하여 사용자가 선택하는 특정 시스템 정보에 따라 소프트웨어적으로 필터 계수(Filter Coefficients)를 재설계하여 한 개의 디지털 FIR(Finite Impulse Response) 대역통과 필터(BPF: Band Pass Filter)를 재구성함으로써 여러 개의 대역통과 필터를 갖는 효과를 얻는다. 본 논문에서 제안하는 기법을 적용하여 다중채널 신호 발생기를 구현하고, 동일한 하드웨어 상에서 WCDMA(Wideband Code Division Multiple Access) 시스템 혹은 CDMA 시스템으로 재구성하는 시험을 통하여 본 알고리즘의 구현 가능성을 검증하였다.

다중 이동 로봇의 위치 추정을 위한 확장 칼만 필터와 제약 만족 기법의 성능 비교 (Comparison of Extended Kalman Filter and Constraint Propagation Technique to Localize Multiple Mobile Robots)

  • 조경환;이홍기;이지홍
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2008년도 학술대회 논문집 정보 및 제어부문
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    • pp.323-324
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    • 2008
  • In this paper, we present performance comparison of two methods to localize multiple robots. One is extended Kalman filter and the other is constraint propagation technique. Extended Kalman filter is conventional probabilistic method which gives the sub-optimal estimation rather than guarantee any boundary for true position of robot. In case of constraint propagation, it can give a boundary containing true robot position value. Especially, we deal with cooperative localization problem in outdoor environment for multiple robots equipped with GPS, gyro meter, wheel encoder. In simulation results, we present strength and weakness for localization methods based on extend Kalman filter and constraint propagation technique.

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다중 특징 기반 입자필터를 이용한 강건한 영상객체 추적 (Multiple Cues Based Particle Filter for Robust Tracking)

  • ;이칠우
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2012년도 추계학술발표대회
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    • pp.552-555
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    • 2012
  • The main goal of this paper is to develop a robust visual tracking algorithm with particle filtering. Visual Tracking with particle filter technique is not easy task due to cluttered environment, illumination changes. To deal with these problems, we develop an efficient observation model for target tracking with particle filter. We develop a robust phase correlation combined with motion information based observation model for particle filter framework. Phase correlation provides straight-forward estimation of rigid translational motion between two images, which is based on the well-known Fourier shift property. Phase correlation has the advantage that it is not affected by any intensity or contrast differences between two images. On the other hand, motion cue is also very well known technique and widely used due to its simplicity. Therefore, we apply the phase correlation integrated with motion information in particle filter framework for robust tracking. In experimental results, we show that tracking with multiple cues based model provides more reliable performance than single cue.

Design and Implementation of a SDR-based Digital Filter for CDMA Systems

  • Yu, Bong-Guk;Bang, Young-Jo;Kim, Dae-Ho;Lee, Kyu-Tae;Ra, Sung-Woong
    • Journal of Ubiquitous Convergence Technology
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    • 제2권2호
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    • pp.59-66
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    • 2008
  • In this study, Software Defined Radio (SDR) technology-based digital filterbank architecture applicable to a multiple-channel processing system such as a wireless mobile communication system using Code Division Multiple Access (CDMA) technology is proposed. The technique includes a micro-processor to redesign Finite Impulse Response (FIR) filter coefficients according to specific system information and to download the filter coefficients to one digital Band Pass Filter (BPF) to reconfigure another system. The feasibility of the algorithm is verified by computer simulation and by implementing a multiple-channel signal generator that is reconfigurable to other system profiles, including those of a Wideband Code Division Multiple Access (WCDMA) system and a CDMA system.

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모델 전이 기법을 이용한 기압고도계의 오차 추정 (Estimation of baro-altimeter errors via model transition technique)

  • 황익호
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
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    • pp.32-35
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    • 1996
  • In this paper, it is shown that the dominant errors of baro-altimeters can be characterized by bias and scale factor errors. Also an optimal filter for estimating both bias and scale factor is derived based on the concept of model transition. The optimal filter is, however, not realizable because the model transition hypotheses increase exponentially. Therefore a realizable suboptimal filter using the interacting multiple model(IMM) technique is proposed. Computer simulation results show that the estimation errors of the proposed filter are smaller than those of the conventional least squares algorithm with a forgetting factor when both the bias and the scale factor are varying.

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혼합 은닉필터모델 (HFM)을 이용한 비정상 잡음에 오염된 음성신호의 향상 (Speech Enhancement Based on Mixture Hidden Filter Model (HFM) Under Nonstationary Noise)

  • 강상기;백성준;이기용;성굉모
    • 한국음향학회지
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    • 제21권4호
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    • pp.387-393
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    • 2002
  • 비정상 잡음에 오염된 음성신호의 향상을 위하여 혼합 은닉필터모델 (HFM: Hidden Filter Model)에 기초한 기법을 제안하였다. 오염된 음성신호를 선형상태방정식으로 모델링하고 파라미터는 마코프 모델에 따른다고 가정하였다. 이 파라미터들은 잡음에 오염되지 않은 학습신호로부터 추정할 수 있다. 추정과정은 혼합 상호복합모델 (IMM: Interacting Multiple Model)에 기초하여 이루어지며, 음성신호의 추정값은 상호작용하는 병렬의 칼만 필터들의 가중합으로 주어진다. 실험결과로부터 제안한 방법의 성능이 기존의 방법에 비해 개선되었음을 확인할 수 있었다.

다중 UAV에서 측정된 거리차 정보를 이용한 선형 강인 표적추적 필터 설계 (Linear Robust Target Tracking Filter Using the Range Differences Measured By Formation Flying Multiple UAVs)

  • 이혜경;한슬기;나원상
    • 전기학회논문지
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    • 제61권2호
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    • pp.284-290
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    • 2012
  • This paper addresses a new passive target tracking problem using the range differences measured by cooperative UAVs. In order to solve the range difference based passive target tracking problem within the framework of linear robust state estimation, the uncertain linear measurement model which contains the stochastic parameter uncertainty is derived by using the noisy range difference measurements. To cope with the performance degradation due to the stochastic parameter uncertainty, the recently developed non-conservative robust Kalman filtering technique [1] is applied. For the cruciform formation flying UAVs, the relationship between the target tracking performance and the measurement errors is quantitatively analyzed. The proposed filter has practical advantages over the classical nonlinear filters because, for its recursive linear structure, it can provide satisfactory convergence properties and is suitable for real-time multiple UAVs applications. Through the simulations, the usefulness of the proposed method is demonstrated.

Dispersion of Rayleigh Waves in the Korean Peninsula

  • ;이기화
    • 지구물리
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    • 제9권3호
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    • pp.231-240
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    • 2006
  • The crustal structure of the Korean Peninsula was investigated by analyzing phase velocity dispersion data of Rayleigh waves. Earthquakes recorded by three component broad-band velocity seismographs during 1999-2004 in South Korea were used in this study. The fundamental mode Rayleigh waves were extracted from vertical components of seismograms by multiple filter technique and phase match filter method. Phase velocity dispersion curves of the fundamental mode signal pairs for 14 surface wave propagation paths on the great circle in the range 10 to 80 sec were computed by two-station method. Treating the shear velocity of each layer as an independent parameter, phase velocity data of Rayleigh wave were inverted. All the result models can be explained by a rather homogeneous crust of shear-wave velocity increasing from 2.8 to 3.25 km/sec from top to about 33 km depth without any distinctive crustal discontinuities and an uppermost mantle of shear-wave velocity between 4.55 and 4.67 km/sec. Our results turn out to agree well with recent study of Cho et al. (2006 b) based on the analysis of seismic background noises to recover short-period (0.5-20 sec) Rayleigh- and Love-wave group velocity dispersion characteristics.

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DSP Performance Maximization with Multisample Technique

  • Lee, Hosun;Lawrence K.W. Law;Youngyearl Han
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2000년도 제13회 신호처리 합동 학술대회 논문집
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    • pp.471-474
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    • 2000
  • In this paper, we present multisample DSP coding technique for StarCore, SC 140 DSP. The multisample programming is a pipelining technique that exploits operand reuse both coefficients and variables within kernel. A coefficient or operand is loaded once from memory and then the value may be used by multiple ALUs. It is possible to evaluate one intermediate product from each of four output sample calculations in parallel . Therefore, parallelization has been achieved by processing multiple samples in parallel rather than multiple intermediate products belonging to only one sample. The benefits of decreasing the number of memory moves per sample is to increase the algorithm perforomance. In this paper, the multisample technique has been implemented in FIR filter calculation using Motorola StarCore DSP development tool.

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다중경로 페이딩 전송로에서 직접시퀀스 확산대역 다원접속 시스템의 포착성능 (Acquisition performance of a direct-sequence spread-specturm multiple-access system in a multipath fading channel)

  • 김진영;이재홍
    • 한국통신학회논문지
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    • 제21권5호
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    • pp.1230-1239
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    • 1996
  • This paper analyzes matched-filter acquistion performance of a direct-sequence spread-specturm multiple-access system in a Rayleigh fading channel. For an application of multiple access system, multiple access interference is considered in the performance analysis. A signal flow graph technique is used to derive mean acquisition time in terms of detection and false alarm probabilities. As aresult of performance analysis, it is shown that mean acquisition time increases as fading rate becomes faster andthe numbre of users increases, and it decreases as a matched-filter length becomes logner. The variation of parameter values hs much influence on acquisition performance as SNR/chip becomes smaller.

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