원문정보
보안공학연구지원센터(IJSEIA)
International Journal of Software Engineering and Its Applications
Vol.7 No.4
2013.07
pp.279-284
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
In order to realize location in cellular networks, the location model with uniform noise based on AOA is established when seven base stations are available. Then a maximum likelihood estimation (MLE) method is proposed and realized by an iterative algorithm under this model. Finally, the simulation result of the iterative algorithm as compared to least squares estimation(LSE) algorithm under this AOA model is shown that the iterative algorithm is less error and more robust to noise disturbance than LSE algorithm.
목차
Abstract
1. Introduction
2. Least Squares Estimation(LSE)
3. Maximum Likelihood Estimation (MLE)
4. Iterative Algorithm of MLE
5. Simulation Experiment
6. Conclusion and Future
Acknowledgements
References
1. Introduction
2. Least Squares Estimation(LSE)
3. Maximum Likelihood Estimation (MLE)
4. Iterative Algorithm of MLE
5. Simulation Experiment
6. Conclusion and Future
Acknowledgements
References
키워드
- target localization
- uniform noise
- least squares estimation (LSE)
- maximum likelihood estimation (MLE)
- angle of arrival (AOA)
- root mean square (RMS)
저자정보
참고문헌
자료제공 : 네이버학술정보