• Title/Summary/Keyword: 충격잡음 환경

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Robust Kalman based time varying spectral estimation in bursty noise environment (충격성 잡음환경에 강인한 Kanlman 시변 주파수 추정기법)

  • 김한수
    • Proceedings of the Acoustical Society of Korea Conference
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    • 1996.06a
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    • pp.29-32
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    • 1996
  • 본 논문에서는 시변 주파수를 추정하기 위한 방법으로 기존의 시간 가중 칼만 추정기법에 변형된 Huber함수를 적용하여 충격성 잡음환경 하에서도 강인한 칼만추정기법을 제안하였다. 기존의 시간 가중 칼만 추정기법은 오차가 정규분포를 가진다고 가정된 상태에서는 적합한 파라메타 추정을 할 수 있지만 충격성 잡음이 존재하는 경우에는 수렴속도나 시변적응능력에서의 성능저하가 나타난다. 제안된 알고리듬은 영향함수 측면에서 충격성 잡음에 의해 생기는 오차의 크기를 제한함으로써 기포나 인위적인 충격성 잡음환경 하에서도 시변 주파수 추정을 할 수 있으며 알고리듬의 타당성은 모의실험을 통해 보였다.

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Performance Analysis of Maximum Zero-Error Probability Algorithm for Blind Equalization in Impulsive Noise Channels (충격성 잡음 채널의 블라인드 등화를 위한 최대 영-확률 알고리듬에 대한 성능 분석)

  • Kim, Nam-Yong
    • Journal of Internet Computing and Services
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    • v.11 no.5
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    • pp.1-8
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    • 2010
  • This paper presentsthe performance study of blind equalizer algorithms for impulsive-noise environments based on Gaussian kernel and constant modulus error(CME). Constant modulus algorithm(CMA) based on CME and mean squared error(MSE) criterion fails in impulsive noise environment. Correntropy blind method recently introduced for impulsive-noise resistance has shown in PAM system not very satisfying results. It is revealed in theoretical and simulation analysis that the maximization of zero-error probability based on CME(MZEP-CME) originally proposed for Gaussian noise environments produces superior performance in impulsive noise channels as well. Gaussian kernel of MZEP-CME has a strong effect of becoming insensitive to the large differences between the power of impulse-infected outputs and the constant modulus value.

Performance of Optimum and Suboptimum Rake Receivers in the Presence of Impulsive Noise (충격성 잡음에서 최적 갈퀴수신기와 준최적 갈퀴수신기의 성능)

  • Kim, Byoung-Soo;Choi, Sang-Won;Kwon, Hyoung-Moon;Bae, Jin-Soo;Song, Iick-Ho
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.30 no.9C
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    • pp.899-906
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    • 2005
  • In this paper, the optimum maximum-likelihood rake receiver for impulsive, fading channel is derived, and a sub-optimun rake receiver with reduced complexity is obtained for practical purposes. Numerical results show that, when the noise is impulsive, the rake receivers designed for impulsive noise offer performance improvement over those optimized for Gaussian environment. It is also observed that, as the number of fingers increases, the performance of the rake receivers designed for impulsive environment improves while the rake receiver optimized for Gaussian environment experiences performance degradation in impulsive environment.

Adaptive time-delay estimation using median orthogonal FIR filtering in impulse noise envirnment (임펄스 잡음 환경하에서 MO-FIR 필터링을 이용한 적응 시지연 추정)

  • Lee, J.;Jeon, K.S.;Yeo, S.P.;Kim, S.H.
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.36S no.3
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    • pp.106-115
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    • 1999
  • 본 연구에서는 충격잡음이 부가되는 비정상 신호 및 잡음 환경하에서 실시간 시지연 추정이 가능한 SLMPTDE와 ZFLMSTDE의 새로운 적응 시지연 추정 방법을 제안하였다. 본 연구에서 제안한 방법은 중간직교 척도를 바탕으로 임의의 SαS 확률과정에 강건하게 적용할 수 있도록 유도된 확률적 경사형적응 추정 알고리즘으로 구성되었으며, SαS 분포를 갖는 다양한 충격잡음을 대상으로 모의 실험하여 알고리즘의 통계적 수렴특성 및 우정 오차에 대해 분석하였으며, 기존의 LMSTDE 방법과 일정시지연의 경우와 시변시지연의 경우에 대해 실시간 시지연 추정능력을 비교, 분석하였다. 실험결과로부터, LMSTDE 방법은 α≥1.9인 가우시안 잡음에 대해서만 시지연 추정이 가능하였고 P=1로 설정한 SLMPTDE 방법은 1〈α≤2인 경우의 SαS 잡음에 대해 정확한 시지연 추정능력을 보였으며, ZFLMSTDE 방법은 0〈α≤2인 모든 경우의 잡음 환경에 대해 그 능력이 입증되었다.

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Impulse Noise Cancellation Using Adaptive Threshold Algorithm (적응 문턱치 알고리즘을 이용한 충격잡음 제거)

  • Lee, Jin;Park, Jong-Hwan;Kim, Se-Dong;Lee, Young-Suk;Kim, Sung-Hwan
    • The Journal of the Acoustical Society of Korea
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    • v.19 no.8
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    • pp.26-34
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    • 2000
  • This paper presents a new adaptive impulse noise cancelling technique based on the adaptive nonlinear suppressing function. The proposed "adaptive threshold algorithm (ATA)" is controlled by the normalized power prior input data term, and this adaptive threshold makes the cancelling system highly robust against additive impulse noise. For the performance evaluation, we have tested the proposed algorithm with the observed signals simulated in various impulsive noise environments and real EMG signals. As a result the proposed algorithm shows superior performance of 51.7% to the available techniques in the points of SNR and MSE.

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Decision Feedback Equalizer Algorithms based on Error Entropy Criterion (오차 엔트로피 기준에 근거한 결정 궤환 등화 알고리듬)

  • Kim, Nam-Yong
    • Journal of Internet Computing and Services
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    • v.12 no.4
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    • pp.27-33
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    • 2011
  • For compensation of channel distortion from multipath fading and impulsive noise, a decision feedback equalizer (DFE) algorithm based on minimization of Error entropy (MEE) is proposed. The MEE criterion has not been studied for DFE structures and impulsive noise environments either. By minimizing the error entropy with respect to equalizer weight based on decision feedback structures, the proposed decision feedback algorithm has shown to have superior capability of residual intersymbol interference cancellation in simulation environments with severe multipath and impulsive noise.

Quartile Deviation Based Quadtree Segmentation with Efficience Against Impulsive Noise (충격성 잡음에 효과적인 사분위편차 기반 쿼드트리 영역분할)

  • Shik Koh Sung;Ku Dae Sung;Choh Hyun Yong;Kim Chung Hwa
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.42 no.2 s.302
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    • pp.1-8
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    • 2005
  • There are many image segmentation methods having bon published as the results of research so far, however these are for the noise images which can process an image under the general white noise environments. Therefore, these methods has the disadvantages because it is difficult to extract only the accurate parameters, which can distinguish between image and impulsive noise, from image with impulsive noises. So it has a problem about the potential decreasing of the performance according to the impulsive noise for all applications using the present quadtree segmentation. In this paper, we propose new quadtree segmentation using quartile deviation which can extract effectively the image information parameters from a noise image. Therefore our method can apply for various image processing fields because it has a advantage to distinguish an image information from noise image. As the result of simulation, we confirm that the proposed quadtree segmentation is more efficient than the present method when tested on impulsive noise image.

Distance Measure for Biased Probability Density Functions and Related Equalizer Algorithms for Non-Gaussian Noise (편이 확률밀도함수 사이의 거리측정 기준과 비 가우시안 잡음 환경을 위한 등화 알고리듬)

  • Kim, Namyong
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.37A no.12
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    • pp.1038-1042
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    • 2012
  • In this paper, a new distance measure for biased PDFs is proposed and a related equalizer algorithm is also derived for supervised adaptive equalization for multipath channels with impulsive and time-varying DC bias noise. From the simulation results in the non-Gaussian noise environments, the proposed algorithm has proven not only robust to impulsive noise but also to have the capability of cancelling time-varying DC bias noise effectively.

Adaptive Equalization using PDP Matching Algorithms for Underwater Communication Channels with Impulsive Noise (충격성 잡음이 있는 수중 통신 채널의 적응 등화를 위한 확률밀도함수 정합 알고리듬)

  • Kim, Nam-Yong
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.36 no.10B
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    • pp.1210-1215
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    • 2011
  • In this paper, a supervised adaptive equalization algorithm based on probability density function (PDF) matching method is introduced and its decision-feedback version is proposed for underwater communication channels with strong impulsive noise and severe multipath characteristics. The conventional least mean square (LMS) algorithm based on mean squared error (MSE) criterion has shown to be incapable of coping with impulsive noise and multipath effects commonly shown in underwater communications. The linear PDF matching algorithm, which shows immunity to impulsive noise, however, has revealed to yield unsatisfying performance under severe multipath environments with impulsive noise. On the other hand, the proposed nonlinear PDF matching algorithm with decision feedback proves in the simulation to possess superior robustness against impulsive noise and multipath characteristics of underwater communication channels.

A Comparative Study on the Impulsive Noise Mitigation Algorithms for Orthogonal Frequency Division Multiplexing Systems (직교 주파수분할다중화 시스템을 위한 충격성 잡음 완화 알고리즘에 대한 비교 연구)

  • Ma, Shuang;Kang, Seog Geun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.18 no.5
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    • pp.1051-1060
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    • 2014
  • In this paper, performance of an orthogonal frequency division multiplexing (OFDM) system in an impulsive noise environment is analyzed. Here, it is verified that performance of the OFDM system with window nonlinearity, which is one of the impulsive noise mitigation algorithms, is dependent on the over-sampling rate and the size of window. With respect to the variation of those parameters, we also provide an appropriate region of threshold values that control amplitudes of the sampled waveform of received signals. As a result, a new combination of parameters which improves error performance of OFDM system in an impulsive noise environment as compared to the previously reported parameters is presented.