• Title/Summary/Keyword: 다중사용자 검출

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Analysis of Adaptive Multiuser Detector using the Cancellation (간섭 제거 기법을 사용한 적응형 간섭 제거기에 관한 분석)

  • 염순진;박용완
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.26 no.8A
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    • pp.1291-1297
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    • 2001
  • 본 논문에서는 DS-CDMA 환경의 다중 사용자 검출에서 문제시되는 다중 접속 간섭을 제거시켜주기 위해 사용되는 간섭 제거기에 대하여 소개한다. 기존의 간섭 제거 기술 중 병렬형 간섭 제거기는 장치적으로 복잡하고, 순차적 간섭 제거기는 지연 시간이 길다는 단점을 가지고 이다. 무엇보다도, 적응형 간섭 제거기는 수렴하기 위하여 많은 반복수가 필요하다. 우리는 이러한 간섭 제거기들의 성능을 개선시키기 위해서 CMA(Constant Modulus Algorithm)을 이용한 적응형 간섭 제거기에 간섭 제거 기법을 적용시킨 새로운 간섭 제거기를 제안한다. 제안된 간섭 제거기는 적응 필터 처리후 간섭 제거 기법을 적용시키기 때문에 동일한 BER(Bit Error Rate)을 얻고자 할 때 기존의 적응형 간섭 제거기에 비해 수렴을 위한 반복수를 줄여 준다. 그리고, 적응 필터를 사용함으로써 기존의 비선형 간섭 제거기에 비해 하드웨어적인 복잡도를 줄일 수 있는 효과가 있다.

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Implementation of Retrieval System for Multi-Objects using Invariant Moments (불변 모멘트를 이용한 다중객체 검색시스템 구현)

  • Ahn, Kwang-Il;Song, Young-Jun;Han, Jae-Hyeck;Ahn, Jae-Hyeong
    • Proceedings of the Korea Information Processing Society Conference
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    • 2000.04a
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    • pp.864-867
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    • 2000
  • 영상과 같은 다양하고 복잡한 데이터 검색은 기존의 키워드를 이용한 검색이 아닌 내용 기반 검색 방법이 요구된다. 본 논문에서는 입력된 사용자 질의를 객체의 위치이동이나 회전, 크기변화에 민감하지 않은 불변모멘트(Invariant Moments)값을 이용하여 효율적으로 검색할 수 있는 시스템을 구현하였다. 영상내의 단일 객체 뿐만 아니라 다중 객체들도 효과적으로 검출하기 위해 레이블링(Labeling) 알고리즘을 적용해 각각의 객체를 따로 분리하여 불변모멘트를 적용하는 방법을 이용했다. 또한, 검색 시간 단축 및 영상의 효율적인 인덱싱(Indexing)을 위해 해싱을 응용한 기법을 적용하였다. 이로써, 기존의 전체 영상의 특징을 가지고 정확히 표현할 수 없는 객체들을 정확히 표현해 줌으로서 좀더 정확한 검색 결과를 얻을 수 있었다.

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The Adaptive Least Mean Square Algorithm Using Several Step Size for Multiuser Detection (다중 사용자 신호 검출을 위한 여러 개의 적응 상수를 사용한 적응 최소 평균 자승 알고리즘에 관한 연구)

  • 최병구;박용완
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.25 no.12A
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    • pp.1781-1786
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    • 2000
  • 본 논문에서는, 적응 간섭 제거기(AIC : adaptive interference canceller)에 사용되는 적응 알고리즘 중 계산량이 적고, 하드웨어적 복잡성이 낮은 최소 평균 자승(LMS)알고리즘의 적응화 상수(constant step size)를 여러 개 사용하여 빠른 수렴 속도와 낮은 평균 자승 에러를 가지는 방법을 제안한다. 최소 평균 자승 알고리즘에서 적응화 상수는 수렴속도와 평균 자승 에러를 제거하는데, 적응화 상수가 증가할수록 수렴속도가 빨라지는 반면, 평균 자승 에러는 증가하게 된다. 이 논문에서는 수렴속도를 증가하는 동시에 평균 자승 에러를 줄이기 위해, 최소 평균 자승 알고리즘에서 세 개의 적응화 상수를 가지는 새로운 검출기를 제안한다. 이 구조에서, 매 반복횟수에 따른 각 그룹 출력 값들을 가지고, 선택(selection)부분에서 평균 자승 에러들을 비교하며, 가장 작은 평균 자승 에러를 나타내는 그룹의 에러 값과 필터 계수 값들이 선택되어져 여러 적응화 상수 최소 평균 자승 알고리즘(several step size LMS algorithm)부분에서 각 그룹의 필터 계수를 갱신하는데 필요한 정보로 이용된다.

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Performance Analysis of Fractional Bandwidth Mode Detection for a Cognitive Radio Based OFDM System (인지 라디오 기반 OFDM 시스템을 위한 부분대역모드 검출 기법의 성능 분석)

  • Lee, Ji-Hye;Wang, Jin-Soo;Kim, Yun-Hee;Yoon, Seok-Ho;Song, Lick-Ho
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.35 no.2C
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    • pp.238-245
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    • 2010
  • For orthogonal frequency division multiplexing (OFDM) systems sharing the spectrum with narrow band primary devices, a fractional bandwidth (FBW) mode has been proposed recently to reduce the interference to the primary users. The FBW mode divides the total OFDM bandwidth into subbands and activates (or deactivates) a subset of the subbands according to the result of spectrum sensing. In this paper, we analyze the detection error probability of FBW mode information which is delivered by the sequence embedded in the preamble and evaluate the performance in wireless regional area network environments. The results show that the detection probability derived analytically estimates the actual value from simulation adequately and that a low detection error probability less than $10^{-3}$ is obtained at a low signal-to-noise power ratio.

Idle Channel Search Scheme for Cognitive Radio Systems Based on Probability Estimation of Channel Idleness (채널 유휴 확률 추정을 이용한 인지 라디오 시스템의 유휴채널 탐색 기법)

  • Son, Min-Sung;Shin, Oh-Soon
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.36 no.5A
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    • pp.450-456
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    • 2011
  • In this paper, idle channel search schemes based on spectrum sensing are proposed for cognitive radio systems with multiple channels. Specifically, we propose a scheme for determining the order of sensing for multiple channels, for which the probability of each channel being idle is estimated every search interval. By performing sensing in the descending order of the probabilities, the time required for searching idle channels is expected to decrease. In addition, we combine the proposed scheme with a user grouping scheme to further improve the sensing performance. Simulation results show that the user grouping reduces the search time, although it degrades the reliability of detection. The proposed search scheme based on probability estimation of channel idleness is found to reduce the search time significantly as compared to the conventional random search scheme. We apply both the proposed search scheme and user grouping scheme to a cognitive radio system to validate the overall performance.

Automatic Tagging Scheme for Plural Faces (다중 얼굴 태깅 자동화)

  • Lee, Chung-Yeon;Lee, Jae-Dong;Chin, Seong-Ah
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.47 no.3
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    • pp.11-21
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    • 2010
  • To aim at improving performance and reflecting user's needs of retrieval, the number of researches has been actively conducted in recent year as the quantity of information and generation of the web pages exceedingly increase. One of alternative approaches can be a tagging system. It makes users be able to provide a representation of metadata including writings, pictures, and movies etc. called tag and be convenient in use of retrieval of internet resources. Tags similar to keywords play a critical role in maintaining target pages. However, they still needs time consuming labors to annotate tags, which sometimes are found to be a hinderance caused by overuse of tagging. In this paper, we present an automatic tagging scheme for a solution of current tagging system conveying drawbacks and inconveniences. To realize the approach, face recognition-based tagging system on SNS is proposed by building a face area detection procedure, linear-based classification and boosting algorithm. The proposed novel approach of tagging service can increase possibilities that utilized SNS more efficiently. Experimental results and performance analysis are shown as well.

User Identification Method using Palm Creases and Veins based on Deep Learning (손금과 손바닥 정맥을 함께 이용한 심층 신경망 기반 사용자 인식)

  • Kim, Seulbeen;Kim, Wonjun
    • Journal of Broadcast Engineering
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    • v.23 no.3
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    • pp.395-402
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    • 2018
  • Human palms contain discriminative features for proving the identity of each person. In this paper, we present a novel method for user verification based on palmprints and palm veins. Specifically, the region of interest (ROI) is first determined to be forced to include the maximum amount of information with respect to underlying structures of a given palm image. The extracted ROI is subsequently enhanced by directional patterns and statistical characteristics of intensities. For multispectral palm images, each of convolutional neural networks (CNNs) is independently trained. In a spirit of ensemble, we finally combine network outputs to compute the probability of a given ROI image for determining the identity. Based on various experiments, we confirm that the proposed ensemble method is effective for user verification with palmprints and palm veins.

A Study on the New Code Grouping Interference Cancellation for WCDMA Systems (WCDMA 시스템을 위한 새로운 코드 그룹화 간섭제거기)

  • Kim, Nam-Sun
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.33 no.1A
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    • pp.16-23
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    • 2008
  • In this paper, we propose a new code grouping interference cancellation(IC) receiver for multirate wideband code division multiple access(WCDMA) system based on orthogonal variable spreading factor(OVSF) code. The users are assigned different lengths of OVSF codes as a spreading code according to their data rates and divide the active users having same representative code split into a group for effective cancellation. The code grouping IC receiver performs cancellation between the groups first and cancellation within group. This proposed IC receiver can cancel the interferences using desired user's code information and then desired signals are detected. The results show that the large improvement in performance can be attained by groupwise IC scheme and we can make the effective systems compare to conventional ones.

MIMO Channel Diagonalization: Linear Detection ZF, MMSE (MIMO 채널 대각화: 선형 검출 ZF, MMSE)

  • Yang, Jae Seung;Shin, Tae Chol;Lee, Moon Ho
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.16 no.1
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    • pp.15-20
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    • 2016
  • Compared to the MIMO system using the spatial multiplexing methods and the MIMO system using the diversity scheme achieved a high rate, but the lower the diversity gain to improve the data transmission reliability should separate the spatial stream at the MIMO receiver. In this paper, we compared Channel capacity detection methods with the Lattice code, the 3-user interference channel and linear channel interference detection methods ZF (Zero Forcing) and MMSE (Minimum Mean Square Error) detection methods. The channel is a Diagonal channel. In other words, Diagonal channel is confirmed by the inverse matrix satisfies the properties of Jacket are element-wise inverse to $[H]_N[H]_N^{-1}=[I]_N$.

Analysis of Parallel Interference Cancellation with the Improved Initial Stage (초기단을 개선시킨 병렬형 간섭 제거기에 관한 분석)

  • 염순진;정재윤;박용완
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.25 no.4A
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    • pp.464-470
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    • 2000
  • In this paper, we introduce a modified interference cancellation scheme to overcome MAI(Multiple Access Interference) in DS-CDMA. Among ICs(Interference Cancellers), PIC(Parallel Interference Canceller) requires the more stages to have the better BER(Bit Error Rate), and SIC(Successive Interference Canceller) faces the problems of power reordering and large delays. To resolve the problems of them, we propose a modified interference cancellation scheme combining SIC and PIC. The proposed interference canceller has improved the performance through the total received signal applied sorting method is fed into the initial stage. Its structure extracts the good characteristics because of the input signal removed MAI in the initial stage. The characteristics of the proposed system are as follows (1) smaller delay, and the strongest user signal is also reduced to MAI(unlike SIC), (2) it has the good BER performance only using fewer stages (unlike PIC).

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