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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- Korean Institute of Information Scientists and Engineers Journal of Electrical Engineering and Information Science Journal of Electrical Engineering and Information Science Vol.4 No.2
- 발행연도
- 1999.4
- 수록면
- 264 - 268 (5page)
이용수
초록· 키워드
오류제보하기
A class of m-interval detectors based on the quantized noise sample space with posedetection dual diversity system is introduced. There are a lot of components which are corrupting the system caused by geographical features and a natural phenomenon and these interfering components are often radom but not gaussian. Due to unknown functional form of noise, it is not easy to design the detector through estimating the functional form of noise. Instead, we design the m-interval detectors by using the pure noise sample space which are partitioned by estimated quantiles in this paper. Since the m-interval detectors are susceptible to detect errors, the performance of the m-interval detectors is much better than that of other detectors. The detectors also operate at near optimum level for the underlying noise distributions and maintains its robustness in the changing intrinsic noise environments. Monte-Carlo simulation is used to show the performance of system suggested here compared to other systems.
목차
Abstract
Ⅰ. Introduction
Ⅱ. Partitioning the r-Dimensional Noise Sample Space
Ⅲ. System Structure
Ⅳ. Discussion of Results
Ⅴ. Conclusion
References
저자소개
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