• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2000년도 추계학술발표논문집 (하)
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• pp.1263-1266
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• 2000

본 논문에서는 Decision Feedback Equalization(DFE)과 다이버시티 기법을 접합하여 영상전송시스템을 구현하였다. 제안된 시스템은 기존의 DFE를 변형시키지 않고 다이버시티 기법을 도입함으로서 보다 간단한 형태를 나타내면서 시스템의 성능을 향상시킬 수 있었다. 또한 본 연구에서 JPEG의 특징인 블록단위의 손상에 대응하여 좀 더 나은 영상품질과 시스템의 속도를 위하여 주파수 영역에서의 블록 보간법을 포함하고 있다. 제안된 시스템의 성능분석을 위하여 세 가지 다이버시티 기법의 경우와 등화기 탭 수의 변화 및 채널의 변화에 따른 컴퓨터 시뮬레이션을 사용하였다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2000년도 제13회 신호처리 합동 학술대회 논문집
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• pp.65-68
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• 2000

It is well-known that the decision rule in the mini-mum mean-squares-error decision feedback equalizer(MMSE-DFE) is biased, and therefore suboptimum with respect to error probability. We present a new family of algorithms that solve the bias problem in the adaptive DFE. A novel constraint, called the constant-norm con-straint, is introduced unifying the quadratic constraint and the monic one. A new cost function based on the constant-norm constraint and Lagrange multiplier is defined. Minimizing the cost function gives birth to a new family of unbiased adaptive DFE. The simula-tion results demonstrate that the proposed method in-deed produce unbiased solution in the presence of noise while keeping very simple both in computation and im-plementation.

• International journal of advanced smart convergence
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• 제9권3호
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• pp.141-144
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• 2020

Iterative decision feedback equalizer (IDFE) is a recursive equalization technique that can help to achieve an additional performance gain for the system by combining iterative channel decoding and interference cancellation. In a single carrier-based system, the intersymbol interference (ISI) is a critical problem that must be resolved since it causes frequency selective fading. Based on the idea of sharing the estimated information in the process of iteration, IDFE is considered as an efficient solution to improve the robustness of the system performance on the ISI channel. In this paper, the IDFE is applied on single carrier FDMA (SC-FDMA) system to evaluate the performance under ISI channel. The simulation results illustrate that IDFE helps to improve the performance of the SC-FDMA system, especially with long delay spread channels.

• 제어로봇시스템학회논문지
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• 제9권11호
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• pp.917-924
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• 2003

Recurrent neural networks have been successfully applied to communications channel equalization. Major disadvantages of gradient-based learning algorithms commonly employed to train recurrent neural networks are slow convergence rates and long training sequences required for satisfactory performance. In a high-speed communications system, fast convergence speed and short training symbols are essential. We propose decision feedback equalizers using a recurrent neural network trained with Kalman filtering algorithms. The main features of the proposed recurrent neural equalizers, utilizing extended Kalman filter (EKF) and unscented Kalman filter (UKF), are fast convergence rates and good performance using relatively short training symbols. Experimental results for two time-varying channels are presented to evaluate the performance of the proposed approaches over a conventional recurrent neural equalizer.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.1132-1136
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• 2005

In this paper, adaptive equalizer receiver for a turbo code direct sequence code division multiple access (DSCDMA) by using least mean square (LMS) adaptive algorithm is presented. The proposed adaptive equalizer is using soft output of decision feedback adaptive equalizer (DFE) to examines the output of the equalizer and the Log- maximum a posteriori (Log-MAP) algorithm for the turbo decoding process of the system. The objective of the proposed equalizer is to minimize the bit error rate (BER) of the data due to the disturbances of noise and intersymbol interference (ISI)phenomenon on the channel of the DS-CDMA digital communication system. The computer program simulation results shown that the proposed soft output decision feedback adaptive equalizer provides a good BER than the others one such as conventional adaptive equalizer, infinite impulse response adaptive equalizer.

• 반도체디스플레이기술학회지
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• 제14권2호
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• pp.9-16
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• 2015

In this paper, selection criterions on selection diversity are researched. The diversity is applied to the multiple antenna system based on wireless access in vehicular environment (WAVE) standard for rapid varying channel. Least squares (LS) based decision feedback equalizer (DFE) are used for channel equalization. Received signal is regenerated by means of the decision feedback path. In the selection diversity, the regenerated signal as well as the received signal is selected according to selection criterion. The decision feedback algorithm can follow the fast speed of WAVE fading channel. To control the tracking speed of the time-varying channel, simple low pass filter is used. Finally, the estimated channel value recovers the distorted payloads. Signal power before automatic gain control (AGC) in analog stage can be used as a selection criterion. In the digital stage, signal power after AGC, noise power after AGC, signal to noise ratio after AGC and cross-correlation method can be used as selection criterions. According to the simulation results, the performance of the selection diversity is improved in comparison with that of the combining diversity for the WAVE fading channel.

• 한국전자파학회지:전자파기술
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• 제5권3호
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• pp.22-35
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• 1994

본 논문에서는 대역폭 효율의 향상을 위해 상관 부호에 따른 FM시스템올 설계한다. 상판 부호화된 신호는 연속 위상과 정진폭 특성으로 전력 효율이 높다. 하지만 이 신호는 최소 유콜리언 거리(${d^2}_{mm}$)가 작기 때분에 신호대 잡음비(SNR)의 손실과 수신 성능(BER)의 저하를 초래한다. 따라서 본 논문에서는 수신 성능의 향상을 위하여 상관 부호화에 따른 수정된 최대 근사 추정을 작용한다. 최대 근사 추정은 사용된 채널에서 bit-by-bit 검파에 비하여 수산 오율을 향상시킨다. 결정 궤환을 적용하지 않은 경우, 최대 근사 추정은 bit by bit 겁파에 비해 약 2dB의 수신 성능이 향상되었다. 결정 궤환을 적용한 경우, 최대 근사 추정은 bit-by bit 검파에 비해 약 4dB의 수신 성능이 향상되었다. 특히 안정된 채널보다 채널이 열악할수록 최대 근사 추정과 결정 궤환의 성능이 우수하다.

• 융합신호처리학회논문지
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• 제18권2호
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• pp.37-42
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• 2017

본 논문에서는 수중무선통신에서 다중경로에 의해 발생하는 심볼간 간섭을 제거하기 위한 방법으로, 단일반송파 전송방식에 주파수-시간 영역 등화 기법을 결합한 주파수영역 결정궤환 등화기법에 대한 성능을 평가한다. 수중채널 모델링은 벨홉모델을 이용하였으며, 모의실험을 통해, 제안한 기법이 심볼간 간섭에 의한 신호왜곡 문제에 효율적으로 대처할 수 있는 대처할 수 있는 전송방식임을 보였다.

• 대한전자공학회논문지TC
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• 제42권8호
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• pp.17-24
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• 2005

본 논문에서는 Blind 채널 등화를 위한 error feedback 필터를 갖는 Decision Feedback Equalizer(DFE) 구조의 등화기를 설계하였다. 제안하는 등화기는 Least Mean Square(LMS) 알고리즘과 Multi-Modulus Agorithm(MMA)을 이용하였으며 64/256 QAM을 위해 설계되었다. 기존의 MMA 등화기는 두개의 transversal 필터를 이용하거나 feedforward와 feedback 필터를 이용하는 반면에 제안하는 등화기는 feedforward와 feedback 그리고 error feedback 필터를 사용하여 채널 적응 성능을 향상시켰으며 탭 수를 감소시켰다. 제안하는 구조는 $SPW^{TM}$ 툴을 이용 시뮬레이션을 수행하여 성능을 개선시킬 수 있었다. 그리고 VHDL을 이용해 시뮬레이션을 수행하였으며 논리 합성은 0.25um 셀 라이브러리를 이용하였다. 설계한 등화기는 약 19만 게이트 수와 15MHz의 동작속도를 보였다 또한 FPGA 칩을 내장한 이뮬레이션 보드를 사용하여 성능 검증을 수행하였다.

• Journal of Communications and Networks
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• 제6권1호
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• pp.19-25
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• 2004

In this paper, we present a trellis-based blind channel estimation and equalization technique coupling two kinds of adaptive Viterbi algorithms. First, the initial blind channel estimation is accomplished by incorporating the list parallel Viterbi algorithm with the least mean square (LMS) updating approach. In this operation, multiple trellis mappings are preserved simultaneously and ranked in terms of path metrics. Equivalently, multiple channel estimates are maintained and updated once a single symbol is received. Second, the best channel estimate from the above operation will be adopted to set up the whole trellis. The conventional adaptive Viterbi algorithm is then applied to detect the signal and further update the channel estimate alternately. A small delay is introduced for the symbol detection and the decision feedback to smooth the noise impact. An automatic switch between the above two operations is also proposed by exploiting the evolution of path metrics and the linear constraint inherent in the trellis mapping. Simulation has shown an overall excellent performance of the proposed scheme in terms of mean square error (MSE) for channel estimation, robustness to the initial channel guess, computational complexity, and channel equalization.