서지주요정보
은닉 학습 데이터를 이용한 선형 적응 MMSE 복수 사용자 검파기 = Linear adaptive MMSE multi-user detector using hidden training sequence
서명 / 저자 은닉 학습 데이터를 이용한 선형 적응 MMSE 복수 사용자 검파기 = Linear adaptive MMSE multi-user detector using hidden training sequence / 정성윤.
발행사항 [대전 : 한국과학기술원, 2002].
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등록번호

8013060

소장위치/청구기호

학술문화관(문화관) 보존서고

MEE 02083

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초록정보

We consider multiuser interference suppression for direct-sequence spread-spectrum multiple-access (DS/CDMA) system without knowledge of other user's spreading waveforms using the minimum mean squared error (MMSE) performance criterion. The conventional MMSE detectors require training sequences for adaptive implementation. The previously proposed minimum output energy (MOE) detector using canonical representation requires no more knowledge than does the conventional single-user receiver: no more desired user's signature waveform and its timing. But this MOE detectors's blind adaptive algorithm is so noisy as to perform worse than the conventional LMS algorithm with a training sequence. And the MOE detector's MMSE solution is greater than that of the conventional MMSE detectors. In this paper we pro-pose an linear adaptive MMSE detector using hidden training sequence to combine the merits of training-based MMSE detector and MOE detector. And the MMSE detector using new canonical representation which make the convergence speed faster than the proposed detector using hidden training sequence. The simulation results are given to verify that the performance of two new proposed detectors is better than that of the previous MMSE and MOE detector.

서지기타정보

서지기타정보
청구기호 {MEE 02083
형태사항 ii, 101 p. : 삽화 ; 26 cm
언어 한국어
일반주기 저자명의 영문표기 : Sung-Yoon Jung
지도교수의 한글표기 : 박동조
지도교수의 영문표기 : Dong-Jo Park
학위논문 학위논문(석사) - 한국과학기술원 : 전기및전자공학전공,
서지주기 참고문헌 : p. 99-101
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