• Title/Summary/Keyword: Maximum Likelihood detection

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A QOC Signal Detection Method for Spatially Multiplexed MIMO Systems (공간다중화 MIMO 시스템을 위한 QOC 신호검출 기법)

  • Im, Tae-Ho;Kim, Jae-Kwon;Cho, Yong-Soo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.35 no.9C
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    • pp.771-777
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    • 2010
  • This paper proposes a new signal detection method, called QR-OSIC with Candidates (QOC) method, for spatially multiplexed multiple input multiple output (MIMO) systems. By using the ordered successive interference cancellation (OSIC) algorithm and the maximum likelihood (ML) metric, the proposed method achieves near-ML performance without requiring a large number of candidates. Although the proposed method can be used for both hard and soft decoding systems, it is especially useful for soft decoding systems since the LLR values for all the bits can be efficiently computed without using LLR estimation. The proposed method is also suitable for VLSI implementation since it leads to fixed throughput system.

Cooperative Spectrum Sensing Via Sequential Detection: A Method to Reduce the Sensing Time

  • Thanh, Truc Tran;Kong, Hyung-Yun
    • Journal of electromagnetic engineering and science
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    • v.12 no.3
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    • pp.196-202
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    • 2012
  • Spectrum sensing is one of the most important functions in cognitive radio systems. In this paper, we focus on reducing the sensing time in a cooperative spectrum sensing paradigm. In the proposed scheme, a sequential detection technique is employed to provide a robust and quick detection system. Each of the secondary users measures the log-likelihood probability of the received signals and then sequentially reports to the base station. Here, the maximum ratio combining (MRC) technique is employed to reduce the average sample number (ASN) in order to reduce the sensing time. This proposed scheme is analyzed and simulated to illustrate the performance in comparison with the other given methods. Analysis and simulation are provided to validate the proposed method.

Medical Image Processing with Local Variati on of the Image Quality (화질의 국소적 변화를 고려한 의용화상처리)

  • 홍승홍
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.12 no.1
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    • pp.1-6
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    • 1975
  • The boundary has been one of the most important information in radiographic images and the degrees of difficulty involved varies greatly with the quality of the picture. These Buantifications are the means to diagnoses. The purpose of this paper is to quantify intensity variation and the threshold decision which is based on statistical principles and is developed to detect limits in liver scintigrams the entire picture is devide4 into 64 small regions. The kurtosis and variances for each smal region are used as indications to select the histograms the thresholds are computed according to the method o(maximum likelihood which minimizes the probability o( misclassification. Therefore Ive have demonstrated the applicability of the boundary detection and proved good agreement with human recognition, and we can use it for the diagnosis data of liver disease.

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Maximum Likelihood Based Doppler Estimation and Target Detection with Pulse Code Modulated Waveform (ML 기법을 이용한 PCM 파형에서의 표적 탐지 및 도플러 추정)

  • Yang, Eunjung;Lee, Heeyoung;Song, Junho
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.25 no.12
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    • pp.1275-1283
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    • 2014
  • Characteristics of PCM(Pulse Code Modulation) waveform are suitable for target tracking. Especially in terms of dwell time, it is desirable to detect and track a moving target with the single PCM waveform for a MFR(Multi-Function Radar) which carries out multiple tasks. General PCM waveform processing includes Doppler filter bank caused by the characteristics of ambiguity function, to detect target and estimate Doppler frequency, which induces hardware burden and computational complexity. We propose a ML(Maximum Likelihood) based Doppler estimator for a PCM waveform, which is the closed form suboptimal solution and computationally efficient to estimate Doppler frequency and detect a moving target.

Parametric Array Sonar System Based on Maximum Likelihood Detection (최대우도 검파에 기반한 파라메트릭 어레이 소나 시스템)

  • Han, Jeong-Hee;Lee, Chong-Hyun;Paeng, Dong-Guk;Bae, Jin-Ho;Kim, Won-Ho
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.48 no.1
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    • pp.25-31
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    • 2011
  • In the underwater communications, transmitted acoustic signal is corrupted by interference from multipath. A parametric array transducer is capable of radiating a narrow beam with very low sidelobe levels. In certain cases, the parametric array transducer can help the multipath problem. To improve the performance of the underwater communications, the statistical signal processing methods will be required. In the paper, the communication system using a parametric array transducer was demonstrated. To detect the received signal of the communication system based on the on-off keying, the maximum likelihood method using averaged signal for a particular window size is used. The communication system has GUI using LebVIEW which allows the user to change the parameter. The GUI can also be easily modified based on the characteristics of a parametric array transducer. The implemented system can effectively evaluate the performance of the parametric array transducer.

An Adaptive Partial Response Equalizer Using Branch Metrics of Viterbi Trellis for Optical Recording Systems (고밀도 광 기록 장치에서 비터비 트렐리스의 가지 메트릭을 이용한 부분 응답 적응 등화기)

  • Lee, Kyu-Suk;Lee, Joo-Hyun;Lee, Jae-Jin
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.30 no.9C
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    • pp.871-876
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    • 2005
  • In this paper, we propose an improved partial response maximum likelihood (PRML) detection scheme that has an adaptive equalizer and can be applied in the asymmetric optical recording system with high-density. We confirmed that the proposed PRML detector improves detection performance. In addition, we implemented the detector by Verilog HDL. The adaptive equalizer is composed of tap coefficient updating unit using LMS algorithn and FIR filter. FIR filter is implemented by the transposed direct form architecture for high speed operation. Viterbi detector is implemented by the register exchange method.

Performance of the Recursive Systematic Convolutional Code with Turbo-Equalization Method for PMR Channel (수직자기기록 채널에서 터보등화기 구조를 이용한 순환 구조적 길쌈 부호의 성능)

  • Park, Dong-Hyuk;Lee, Jae-Jin
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.1C
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    • pp.15-20
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    • 2009
  • For perpendicular magnetic recording (PMR) channels, noise-predictive maximum likelihood (NPML) detection method has been used. But, it is hard to expect improving the performance when the bit density is increased. Hence, we exploit the coding methods which has good performance. In this paper, we show the performance of the recursive systematic convolutional (RSC) codes with turbo-equalization method with different channel bit densities. The noise model is 80% jitter noise and 20% AWGN.

Performance Limit of NPML Detection on High Density Optical Recording Channels (고밀도 광기록 채널에서의 NPML 검출 성능 한계 분석)

  • Yoon, Min-Young;Lee, Jae-Jin;Hong, You-Pyo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.33 no.8C
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    • pp.569-574
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    • 2008
  • Noise predictive maximum likelihood(NPML) detector embeds noise prediction! whitening process in the branch metric calculation of Viterbi detector and improves the reliability. In this paper, some high-density optical storage channels are examined, and appropriate NPML systems are designed for each channel.

Effective Construction Method of Defect Size Distribution Using AOI Data: Application for Semiconductor and LCD Manufacturing (AOI 데이터를 이용한 효과적인 Defect Size Distribution 구축방법: 반도체와 LCD생산 응용)

  • Ha, Chung-Hun
    • IE interfaces
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    • v.21 no.2
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    • pp.151-160
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    • 2008
  • Defect size distribution is a probability density function for the defects that occur on wafers or glasses during semiconductor/LCD fabrication. It is one of the most important information to estimate manufacturing yield using well-known statistical estimation methods. The defects are detected by automatic optical inspection (AOI) facilities. However, the data that is provided from AOI is not accurate due to resolution of AOI and its defect detection mechanism. It causes distortion of defect size distribution and results in wrong estimation of the manufacturing yield. In this paper, I suggest a size conversion method and a maximum likelihood estimator to overcome the vague defect size information of AOI. The methods are verified by the Monte Carlo simulation that is constructed as similar as real situation.