Threshold Selection Algorithm Based on Skewness and Standard Deviation Using Back Propagation Artificial Neural Networks in the 60GHz Wireless Communication Systems
Abstract 1. Introduction 2. System Model 2.1. 60GHz Signal 2.2. Signal Shift and Path Loss 2.3. Multipath Fading Channel 2.4. Energy Detector 3. TOA Estimation Based on Energy Detector 3.1. TOA Estimation Algorithms 3.2. Error Analysis 4. Statistical Characteristics 4.1. Kurtosis 4.2. Standard Deviation 4.3. Skewness 4.4. Characteristics of the Parameters 5. Optimal Threshold Selection 5.1. Relationship between G and SNR 5.2. Relationship between MAE and the Normalized Threshold 5.3. Optimal Thresholds 6. Threshold Selection Using an BP-ANN based on G 6.1. Structure of the BP-ANN 6.2. BP-ANN Training 6.3. Vaildation of the BP-ANN 7. Results and Discussion 8. Conclusion References
Xiao-Lin Liang [ College of Information Science and Engineering, Ocean University of China ]
Hao Zhang [ College of Information Science and Engineering, Ocean University of China, Department of Electrical and Computer Engineering, University of Victoria, Victoria V8W 3P 6, China ]
Ting-Ting Lu [ College of Information Science and Engineering, Ocean University of China ]
Xue-rong Cui [ Department of Computer and Communication Engineering, China University of Petroleum(East China) ]
T.Aaron.Gulliver [ Department of Electrical and Computer Engineering, University of Victoria, Victoria V8W 3P 6, China ]
보안공학연구지원센터(IJSH) [Science & Engineering Research Support Center, Republic of Korea(IJSH)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Smart Home
간기
격월간
pISSN
1975-4094
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Smart Home Vol.10 No.2