• 제목/요약/키워드: Multiple Signal Processing

검색결과 400건 처리시간 0.036초

변형된 PRMA 방식인 PRHMA의 성능분석 (Performance Analysis of modified PRMA: PRHMA(Packet Reservation Hold Multiple Access))

  • 김환의;김덕년
    • 융합신호처리학회논문지
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    • 제1권2호
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    • pp.122-130
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    • 2000
  • 본 논문에서는 다중접속 프로토콜인 PRMA의 변형된 모델에 대해서 다뤘다. 기존의 PRMA에서는 초기 접속 시 얻은 슬롯을 휴지기에 잃게되므로 매 활성기마다 다시 슬롯을 접속함으로써 추가적인 패킷의 폐기가 발생하는 반면, 변형된 모델에서는 슬롯예약을 유지하기 위한 제어미니슬롯을 사용함으로써 초기 접속 이후의 추가적인 패킷 폐기가 발생하지 않는다.

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PSD의 신호 처리를 위한 AM 변조 및 복조 회로 (Signal Processing Algorithm for a PSD Sensor using Amplitude Modulation/Demodulation)

  • 라종필;신명관;박기환
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2003년도 학술회의 논문집 정보 및 제어부문 A
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    • pp.71-74
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    • 2003
  • The signal processing algorithm for a PSD(Position Sensitive Detector) using amplitude modulation/demodulation is addressed in this paper. Dark currents and external noises such as daylight and fluorescent lights are eliminated by using amplitude modulation/demodulation and a low pass filter. The proposed amplitude modulation/demodulation method for a PSD sensor is compared with pulse amplitude modulation method. The proposed amplitude modulation is proved to be more accurate and robust than PAM method by analysis and experiments. Multiple measurements using one PSD sensor by amplitude modulation/demodulation is also addressed. The Power variation of light source is compensated by normalization process using a divider.

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근거리 환경에서의 3차원 배열센서 형상 보정 기법 (3-Dimensional Sensor Array Shape Calibration in Near Field Environment)

  • 류창수;어수해;강현구;유상욱
    • 한국산업융합학회 논문집
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    • 제6권4호
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    • pp.361-366
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    • 2003
  • Most sensor array signal processing methods for multiple source localization require knowledge of the correct shape of array(the correct positions of sensors that consist array), because sensor position uncertainty can severely degrade the performance of array signal processing. In particular, it is assumed that the correct positions of the sensors are known, but the known positions may not represent the true sensor positions. Various algorithms have been proposed for 2-D sensor array shape calibration in far field environment. However, they are not available in near field. In this paper, 3-D sensor array shape calibration algorithm is proposed, which is available in near field.

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개선된 QIM과 SVM을 이용한 공격에 강인한 다중 오디오 워터마킹 알고리즘 개발 (Development of a Robust Multiple Audio Watermarking Using Improved Quantization Index Modulation and Support Vector Machine)

  • 서예진;조상진;정의필
    • 융합신호처리학회논문지
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    • 제16권2호
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    • pp.63-68
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    • 2015
  • 본 논문에서는 신호의 파워에 따라 적응적 스텝 사이즈를 갖는 개선된 QIM(Quantization index modulation)과 SVM(Support vector machine) 디코딩 모델을 이용한 다중 오디오 워터마킹 알고리즘을 제안한다. 워터마크는 주파수 크기 응답과 주파수 위상 응답에 QIM을 이용하여 삽입한다. 이는 주파수 크기 응답과 위상 응답에 강인한 공격이 다르기 때문에 양쪽 모두 삽입하여 강인성을 보완하기 위해서이다. 검출시에는 SVM 디코딩 모델을 사용하여 검출된 워터마크가 워터마크로서의 기능이 애매모호한 경우를 개선하여 검출 비율을 향상시킨다. 강인성 검증을 위해 11개의 공격을 사용하였고 그 결과 SVM 디코딩 모델을 사용하지 않은 기존의 다중 오디오 워터마킹 방법보다 훨씬 우수한 성능을 보였다. 특히 PSNR은 최대 7dB의 개선 효과를, BER은 10%의 개선 효과를 보인 것은 주목할 만한 결과이다.

Feature Based Multi-Resolution Registration of Blurred Images for Image Mosaic

  • Fang, Xianyong;Luo, Bin;He, Biao;Wu, Hao
    • International Journal of CAD/CAM
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    • 제9권1호
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    • pp.37-46
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    • 2010
  • Existing methods for the registration of blurred images are efficient for the artificially blurred images or a planar registration, but not suitable for the naturally blurred images existing in the real image mosaic process. In this paper, we attempt to resolve this problem and propose a method for a distortion-free stitching of naturally blurred images for image mosaic. It adopts a multi-resolution and robust feature based inter-layer mosaic together. In each layer, Harris corner detector is chosen to effectively detect features and RANSAC is used to find reliable matches for further calibration as well as an initial homography as the initial motion of next layer. Simplex and subspace trust region methods are used consequently to estimate the stable focal length and rotation matrix through the transformation property of feature matches. In order to stitch multiple images together, an iterative registration strategy is also adopted to estimate the focal length of each image. Experimental results demonstrate the performance of the proposed method.

어댑티브 안테나 시스템용 디지털 수신기의 적응신호처리에 관한 연구 (A Study on Adaptive Signal Processing of Digital Receiver for Adaptive Antenna System)

  • 민경식;박철근;고지원;임경우;이경학;최재훈
    • 한국전자파학회:학술대회논문집
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    • 한국전자파학회 2002년도 종합학술발표회 논문집 Vol.12 No.1
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    • pp.44-48
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    • 2002
  • This paper describes an adaptive signal processing of digital receiver with DDC(Digital Down Convertor), DDC is implemented by using NCO(Numerically Controlled Oscillator), digital low pass filter. for the passband sampling, we present the results of digital receiver simulation with DDC. We confirm that the low IP signal is converted to zero IF by DDC. DOA(Direction Of Arrival) estimation technique using MUSIC(Multiple SIgnal Classification) algorithm with high resolution is presented. We Cow that an accurate resolution of DOA depends on the input sampling number.

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Adaptive Beamformer Using Signal Location Information for Satellite

  • Kim, Se-Yen;Hwang, Suk-seung
    • Journal of Positioning, Navigation, and Timing
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    • 제9권4호
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    • pp.379-385
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    • 2020
  • The satellite employs an adaptive beamformer to efficiently detect various signals and to suppress multiple interference signals, simultaneously. Although the adaptive beamforming satellite system needs Angle-of-Arrival (AOA) information of the desired signal, it is difficult to estimate the signal AOAs on the satellite environment. However, the AOA estimation on the ground control tower is more efficient and accurate comparing to the satellite environment. In this paper, we propose an adaptive beamforming satellite system based on the signal location information on the ground, consisting on an angle estimator, an adaptive beamformer, and signal processing & D/B unit. The ground control tower estimates the accurate location of the signal source, and it sends the estimated coordinates of the desired signal to the satellite. The angle estimator mounted on the satellite calculates the desired signal AOA, based on the signal location information transmitted from the ground control center. The satellite beamformer detects the desired signal and suppresses unwanted signals based on the signal AOA calculated by the angle estimator. We provide computer simulation results to present the performance of the proposed satellite adaptive beamforming system based on the signal location information.

Broadening of Foci in an Ocean Time Reversal Processing and Application to Underwater Acoustic Communicaion

  • Shin, Kee-Cheol;Kim, Jea-Soo
    • The Journal of the Acoustical Society of Korea
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    • 제27권3E호
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    • pp.104-111
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    • 2008
  • Recently, a method for robust time reversal focusing has been introduced to extend the period of stable focusing in time-dependent ocean environments [S. Kim et al., J. Acoust. Soc. Am. 114, 145-157, (2003)]. In this study, concept of focal-size broadening based on waveguide invariant theory in an ocean time reversal acoustics is described. It is achieved by imposing the multiple location constraints. The signal vector used in multiple location constraints are found from the theory on waveguide invariant for frequency band corresponding the extended focal range. The broadening of foci in an ocean waveguide can play an important role in the application of time reversal processing, particularly to the underwater acoustic communication with moving vehicles. The proposed method is demonstrated in the context of the underwater acoustic communication from the transmit/receive array (TRA) to a slowly moving vehicle.

에이젼트기반 실시간 고장진단 시뮬레이션기법 (Agent based real-time fault diagnosis simulation)

  • 배용환;이석희;배태용;이형국
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 1994년도 추계학술대회 논문집
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    • pp.670-675
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    • 1994
  • Yhis paper describes a fault diagnosis simulation of the Real-Time Multiple Fault Dignosis System (RTMFDS) for forcasting faults in a system and deciding current machine state from signal information. Comparing with other diagnosis system for single fault,the system developed deals with multiple fault diagnosis,comprising two main parts. One is a remotesignal generating and transimission terminal and the other is a host system for fault diagnosis. Signal generator generate the random fault signal and the image information, and send this information to host. Host consists of various modules and agents such as Signal Processing Module(SPM) for sinal preprocessing, Performence Monotoring Module(PMM) for subsystem performance monitoring, Trigger Module(TM) for multi-triggering subsystem fault diagnosis, Subsystem Fault Diagnosis Agent(SFDA) for receiving trigger signal, formulating subsystem fault D\ulcornerB and initiating diagnosis, Fault Diagnosis Module(FDM) for simulating component fault with Hierarchical Artificial Neural Network (HANN), numerical models and Hofield network,Result Agent(RA) for receiving simulation result and sending to Treatment solver and Graphic Agent(GA). Each agent represents a separate process in UNIX operating system, information exchange and cooperation between agents was doen by IPC(Inter Process Communication : message queue, semaphore, signal, pipe). Numerical models are used to deseribe structure, function and behavior of total system, subsystems and their components. Hierarchical data structure for diagnosing the fault system is implemented by HANN. Signal generation and transmittion was performed on PC. As a host, SUN workstation with X-Windows(Motif)is used for graphic representation.

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Design and Implementation of SDR-based Multi-Constellation Multi-Frequency Real-Time A-GNSS Receiver Utilizing GPGPU

  • Yoo, Won Jae;Kim, Lawoo;Lee, Yu Dam;Lee, Taek Geun;Lee, Hyung Keun
    • Journal of Positioning, Navigation, and Timing
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    • 제10권4호
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    • pp.315-333
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    • 2021
  • Due to the Global Navigation Satellite System (GNSS) modernization, recently launched GNSS satellites transmit signals at various frequency bands such as L1, L2 and L5. Considering the Korean Positioning System (KPS) signal and other GNSS augmentation signals in the future, there is a high probability of applying more complex communication techniques to the new GNSS signals. For the reason, GNSS receivers based on flexible Software Defined Radio (SDR) concept needs to be developed to evaluate various experimental communication techniques by accessing each signal processing module in detail. This paper proposes a novel SDR-based A-GNSS receiver capable of processing multi-GNSS/RNSS signals at multi-frequency bands. Due to the modular structure, the proposed receiver has high flexibility and expandability. For real-time implementation, A-GNSS server software is designed to provide immediate delivery of satellite ephemeris data on demand. Due to the sampling bandwidth limitation of RF front-ends, multiple SDRs are considered to process the multi-GNSS/RNSS multi-frequency signals simultaneously. To avoid the overflow problem of sampled RF data, an efficient memory buffer management strategy was considered. To collect and process the multi-GNSS/RNSS multi-frequency signals in real-time, the proposed SDR A-GNSS receiver utilizes multiple threads implemented on a CPU and multiple NVIDIA CUDA GPGPUs for parallel processing. To evaluate the performance of the proposed SDR A-GNSS receiver, several experiments were performed with field collected data. By the experiments, it was shown that A-GNSS requirements can be satisfied sufficiently utilizing only milliseconds samples. The continuous signal tracking performance was also confirmed with the hundreds of milliseconds data for multi-GNSS/RNSS multi-frequency signals and with the ten-seconds data for multi-GNSS/RNSS single-frequency signals.