• 제목/요약/키워드: Update Rate

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RB 복소수 필터구조와 DLMS 알고리듬을 이용한 Pipelined ADFE의 설계

  • 안병규;신경욱
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 1999년도 추계종합학술대회
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    • pp.534-537
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    • 1999
  • This paper describes a design of pipelined adaptive decision-feedback equalizer (PADFE) for high bit-rate wireless digital communication systems. To enhance the throughput rate of ADFE, two pipeline stages are inserted into the critical path of ADFE by using delayed least-mean-square (DLMS) algorithm. Redundant binary (RB) arithmetic is applied to all the data processing of ADFE including filter laps and coefficient update blocks. When compared with conventional methods based on two's complement arithmetic, the proposed approach reduces arithmetic complexity, as well as results in a very simple complex-valued filter structure, thus suitable for VLSI implementation. The design parameters (filter tap, coefficient and internal bit-width, etc.) and equalization performance (bit error rate, convergence speed, etc.) are analyzed by algorithm-level simulation using COSSAP. The PADFE was designed using VHDL and Synopsys, and mapped into two ALTERA FLEX10k100 FPGAs.

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가변학습율과 온라인모드를 이용한 개선된 EBP 알고리즘 (Improved Error Backpropagation by Elastic Learning Rate and Online Update)

  • Lee, Tae-Seung;Park, Ho-Jin
    • 한국정보과학회:학술대회논문집
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    • 한국정보과학회 2004년도 봄 학술발표논문집 Vol.31 No.1 (B)
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    • pp.568-570
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    • 2004
  • The error-backpropagation (EBP) algerithm for training multilayer perceptrons (MLPs) is known to have good features of robustness and economical efficiency. However, the algorithm has difficulty in selecting an optimal constant learning rate and thus results in non-optimal learning speed and inflexible operation for working data. This paper Introduces an elastic learning rate that guarantees convergence of learning and its local realization by online upoate of MLP parameters Into the original EBP algorithm in order to complement the non-optimality. The results of experiments on a speaker verification system with Korean speech database are presented and discussed to demonstrate the performance improvement of the proposed method in terms of learning speed and flexibility fer working data of the original EBP algorithm.

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Phase Correlation을 이용한 표적 추적기 개발 (Development of a Target Tracker using Phase Correlation)

  • 진상훈;석정엽
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2004년도 학술대회 논문집 정보 및 제어부문
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    • pp.165-168
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    • 2004
  • This paper propose a target tracker using phase correlation. The tracker consist of a pre-processing module, a translation estimation module based on phase correlation, a fine motion estimation module applied when confidence rate could not fulfill a threshold value and a reference image update module. The fine motion estimation module measure the shift, rotation and scale of input image compared to reference using Fourier-Mellin transform. Proposed tracker was tested its accuracy and robustness using some real indoor and outdoor image sequences.

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DVB-H 시스템의 IP Datacast를 위한 H.264/AVC 에러 내성 계획 (Error Resilience Schemes of H.264/AVC for IP Datacast over DVB-H Systems)

  • 정우석;김재석
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2006년도 하계종합학술대회
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    • pp.393-394
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    • 2006
  • This paper lists various error resilience tools and analyzes performance in IP Datacast over DVB-H systems and schemes are proposed. Experiments shows that, in DVB-H environment, encoding with macroblock line intra update can achieve the best error correction ability, because this tool can make full use of spatial correlation for intra prediction and reduce the requirement of bit rate.

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A Bayesian Approach to PM Model with Random Maintenance Quality

  • Jung, Ki-Mun
    • Journal of the Korean Data and Information Science Society
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    • 제18권3호
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    • pp.689-696
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    • 2007
  • This paper considers a Bayesian approach to determine an optimal PM policy with random maintenance quality. Thus, we assume that the quality of a PM action is a random variable following a probability distribution. When the failure time is Weibull distribution with uncertain parameters, a Bayesian approach is established to formally express and update the uncertain parameters for determining an optimal PM policy. Finally, the numerical examples are presented for illustrative purpose.

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Precise attitude determination strategy for spacecraft based on information fusion of attitude sensors: Gyros/GPS/Star-sensor

  • Mao, Xinyuan;Du, Xiaojing;Fang, Hui
    • International Journal of Aeronautical and Space Sciences
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    • 제14권1호
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    • pp.91-98
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    • 2013
  • The rigorous requirements of modern spacecraft missions necessitate a precise attitude determination strategy. This paper mainly researches that, based on three space-borne attitude sensors: 3-axis rate gyros, 3-antenna GPS receiver and star-sensor. To obtain global attitude estimation after an information fusion process, a feedback-involved Federated Kalman Filter (FKF), consisting of two subsystem Kalman filters (Gyros/GPS and Gyros/Star-sensor), is established. In these filters, the state equation is implemented according to the spacecraft's kinematic attitude model, while the residual error models of GPS and star-sensor observed attitude are utilized, to establish two observation equations, respectively. Taking the sensors' different update rates into account, these two subsystem filters are conducted under a variable step size state prediction method. To improve the fault tolerant capacity of the attitude determination system, this paper designs malfunction warning factors, based on the principle of ${\chi}^2$ residual verification. Mathematical simulation indicates that the information fusion strategy overwhelms the disadvantages of each sensor, acquiring global attitude estimation with precision at a 2-arcsecs level. Although a subsystem encounters malfunction, FKF still reaches precise and stable accuracy. In this process, malfunction warning factors advice malfunctions correctly and effectively.

소음 주파수 추정 기법을 이용한 능동소음제어 알고리즘 (Active noise control algorithm based on noise frequency estimation)

  • 김선민;박영진
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
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    • pp.321-324
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    • 1997
  • In this paper, Active Noise Control(ANC) algorithm is proposed based on the estimated frequency estimator of the reference signal. The conventional feedforward ANC algorithms should measure the reference and use it to calculate the gradient of the squared error and filter coefficients. For ANC systems applied to aircrafts and passenger ships, engines from which reference signal is usually measured is so far from seats where main part of controller is placed that the scheme might be difficult to implement or very costly. Feedback ANC algorithm which doesn't need to measure the reference uses the error signal to update the filter and is sensitive to unexpected transient noise like a sneeze, clapping of hands and so on The proposed algorithm estimates frequencies of the desired signal in real time using adaptive notch filter. New frequency estimation algorithm is proposed with the improved convergence rate, threshold SNR and computational simplicity. Reference is not measured but created with the estimated frequencies. It has strong similarity to the conventional feedback control because reference is made from error signal. Enhanced error signal is used to update the controller for better performance under the measurement noise and impact noise. The proposed ANC algorithm is compared with the conventional feedback control.

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국제표준을 고려한 광역보정시스템 메시지 스케쥴링 기법 연구 (A Study On Message Scheduling Algorithm for Wide Area Differential GNSS Considering International Standard)

  • 한덕화;윤호;기창돈
    • 한국항행학회논문지
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    • 제15권4호
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    • pp.517-522
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    • 2011
  • 위성항법 보정 시스템은 형태에 따라 지역보정 시스템과 광역 보정 시스템으로 나뉜다. 광역보정 시스템은 지역 보정시스템에 비해 시스템 구조가 복잡하며, 방송 메시지의 종류와 양이 많다. 또한 제한된 전송속도로 인해 사용자의 정확성과 무결성을 유지하기 위해서는 효율적인 메시지 스케쥴링이 필요하다. 현재 광역보정시스템에서는 30여 가지의 메시지가 방송되며 메시지 타입에 따라 업데이트 주기가 다르다. 본 논문에서는 메시지 스케쥴링 알고리듬을 적용하고 시뮬레이션을 통하여 성능을 분석하였다. 시뮬레이션 결과 모든 메시지 타입에서 최대 업데이트 주기 요구 조건을 만족시킴을 확인할 수 있었다.

GPS 속도와 가속도 기반의 칼만 필터를 이용한 무인항공기 추적 안테나 시스템의 시험 (Test of UAV Tracking Antenna System Using Kalman Filter Based on GPS Velocity and Acceleration)

  • 서영준;이대우
    • 한국항공우주학회지
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    • 제39권9호
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    • pp.883-888
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    • 2011
  • GPS를 기반으로 하는 무인항공기 추적 안테나 시스템은 일정한 주기를 가지고 위치정보를 갱신하는 특성이 있으며 이로 인하여 갱신 주기에 따른 위치 오차가 발생한다. 위치오차를 줄이기 위해 GPS의 갱신 주기를 시분할 하여 분할된 시점의 위치를 예측 하고 이를 이용하여 무인항공기를 추적할 수 있도록 하였다. 무인항공기의 위치를 예측하기 위해서 속도와 가속도 기반의 선형 칼만 필터를 사용하였으며 이를 이용하여 무인항공기의 속도와 가속도를 측정하였고 시간의 변화에 따른 위치변화를 예측한다.

An Efficient Overlapped LDPC Decoder with a Upper Dual-diagonal Structure

  • Byun, Yong Ki;Park, Jong Kang;Kwon, Soongyu;Kim, Jong Tae
    • JSTS:Journal of Semiconductor Technology and Science
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    • 제13권1호
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    • pp.8-14
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    • 2013
  • A low density parity check (LDPC) decoder provides a most powerful error control capability for mobile communication devices and storage systems, due to its performance being close to Shannon's limit. In this paper, we introduce an efficient overlapped LDPC decoding algorithm using a upper dual-diagonal parity check matrix structure. By means of this algorithm, the LDPC decoder can concurrently execute parts of the check node update and variable node update in the sum-product algorithm. In this way, we can reduce the number of clock cycles per iteration as well as reduce the total latency. The proposed decoding structure offers a very simple control and is very flexible in terms of the variable bit length and variable code rate. The experiment results show that the proposed decoder can complete the decoding of codewords within 70% of the number of clock cycles required for a conventional non-overlapped decoder. The proposed design also reduces the power consumption by 33% when compared to the non-overlapped design.