• 제목/요약/키워드: Spectrum Mismatched

검색결과 4건 처리시간 0.016초

부정합된 최대 상관값을 이용한 초기 동기 임계치 결정 기법 (Threshold detection technique for code acquisition using maximum mismatched correlation value)

  • 유영환;김종헌;강성철;강창언
    • 한국통신학회논문지
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    • 제21권7호
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    • pp.1803-1813
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    • 1996
  • This paper describes an automatic threshold decision using a maximum mismatched correlation value in the direct sequence spread spectrum (DS-SS) system. For received PN codes with different single-to-noise ratio (SNR), this scheme is able to detect a desired threshold value in the search mode, i.e. a maximum mismstched correlation value, so that value is utilized as a threshold for the verification mode. Performance of the proposed scheme in both the additive white gaussian noise (AWGN) and frequency-selective Rayleigh fading channels is analyzed through the Monte Carlo simulation. And hardware implementation of this scheme using a DSP processor is demonstrated. The proposed acquisition shceme is compared to the conventional constant threshold (CT) scheme, and significant improvement of performance is shown. Analysis of system performance in the verification mode is presented, and key quantities such as the false alarm probability and the detection probability are derived in a AWGN channel.

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Modified WFRFT-based Transform Domain Communication System Incorporating with Spectrum Mismatching

  • Xu, Ruiyang;Da, Xinyu;Liang, Yuan;Hu, Hang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제12권10호
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    • pp.4797-4813
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    • 2018
  • The transform domain communication system (Hereinafter referred to as TDCS) takes on numerous advantages, inclusive of anti-jamming and low probability of detection. Yet its application is confined by the consistent spectrum in the transmitter and receiver, which is not possible in the case of a huge distance exsits between them. In this paper, a TDCS based modified weighted fractional fourier transform (WFRFT) is proposed to solve the problem resulting from spectrum mismatching for TDCS application. The amplitude and phase information are incorporated with the TDCS signals and transmit to the receiver together in the wake of a modified WFRFT. The basic function and the TDCS signals shall be accessible to the receivers in the wake of an inverse WFRFT transform, which make sure that the original information can be demodulated properly. The system's reliability while transmitting signals with different modulation methods and with spectrum mismatching is demonstrated by bit error rate (BER). In the meantime, the constellations of the signals and the BER performances at the eavesdropper demonstrate the proposed system is better secured.

결합형 모드록킹 극초단 색소레이저의 공진기 길이변화 특성 (Cavity-Length Detuning Characteristics of a Hybridly Mode-Locked Ultrashort Pulse Dye Laser)

  • 서정철;정영붕;김동호
    • 한국광학회지
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    • 제1권1호
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    • pp.22-27
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    • 1990
  • 결합형 모드록킹 극초단 색소레이저의 공진기 길이변화에 따른 펄스폭의 변화를 선형 자체상관기를 이용하여 연구하였다. 색소레이저의 공진기 길이가 여기레이저의 공진기 길이와 일치하였을 경우 펄스폭은 0.64ps이며 완벽하게 모드록킹 되었다. 그러나 최적조건보다 색소레이저 공진기 길이가 긴 경우나 짧은 경우에는 펄스폭은 넓어지며 불완전 모드록킹이 되었다. 즉 색소레이저의 공진기 길이가 여기레이저의 공진기 길이보다 길 경우는 자연방출에 의한 noise 때문에 broad base 가 형성되며, 색소 이득이 증가되기 때문에 자체 상관함수의 첨두출력은 최적조건에서의 색소레이저 공진기 길이보다 5 $\mu\textrm{m}$ 긴 조건에서 최대가 되었다. 또 색소레이저의 스펙트럼은 자연방출에 의한 형광 및 색소 이득이 증가되기 때문에 넓게 됨을 관찰할 수 있었다. 그러나 색소레이저의 공진기 길이가 여기 레이저의 공진기 길이보다 짧은 경우에는, 색소 이득이 적게 됨으로 자체 상관함수의 첨두출력도 약하게 되며 스펙트럼의 전반치폭은 좁게 되었다. 한편 최적조건을 벗어나면 스펙트럼의 중심파장이 이동되는 현상을 관찰할 수 있었다.

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다중 스펙트럼 머신비전 응용을 위한 CUDA SURF 기반의 영상 정렬 기법 (Image alignment method based on CUDA SURF for multi-spectral machine vision application)

  • 맹형열;김진형;고윤호
    • 한국멀티미디어학회논문지
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    • 제17권9호
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    • pp.1041-1051
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    • 2014
  • In this paper, we propose a new image alignment technique based on CUDA SURF in order to solve the initial image alignment problem that frequently occurs in machine vision applications. Machine vision systems using multi-spectral images have recently become more common for solving various decision problems that cannot be performed by the human vision system. These machine vision systems mostly use markers for the initial image alignment. However, there are some applications where the markers cannot be used and the alignment techniques have to be changed whenever their markers are changed. In order to solve these problems, we propose a new image alignment method for multi-spectral machine vision applications based on SURF extracting image features without depending on markers. In this paper, we propose an image alignment method that obtains a sufficient number of feature points from multi-spectral images using SURF and removes outlier iteratively based on a least squares method. We further propose an effective preliminary scheme for removing mismatched feature point pairs that may affect the overall performance of the alignment. In addition, we reduce the execution time by implementing the proposed method using CUDA based on GPGPU in order to guarantee real-time operation. Simulation results show that the proposed method is able to align images effectively in applications where markers cannot be used.