Title :
Wireless Location on CPN Correction Environmental Factors
Author :
Zhifeng Lin ; Jiechang Wen ; Qiling Chen
Author_Institution :
Sch. of Appl. Math., Guangdong Univ. of Technol., Guangzhou, China
Abstract :
This paper propose a method to deal with the complex nonlinear characteristics, which was caused by the uncertainty of the unknown. As the received signal strength is low in Non line-of-sight environment, the proposed algorithm can be used to process and predict the unknown nodes position by maximum likelihood estimation method. Furthermore, experimental results show that the mobile target tracking error can be less than 1m when we use the method mentioned above, thus meeting the requirements of smart space mobile targeting.
Keywords :
environmental factors; maximum likelihood estimation; wireless sensor networks; CPN correction environmental factors; complex nonlinear characteristics; maximum likelihood estimation method; mobile target tracking error; nodes position; non line-of-sight environment; received signal strength; smart space mobile targeting; wireless location; Educational institutions; Estimation; Neurons; Training; Vectors; Wireless communication; Wireless sensor networks; counter propagation networks; maximum likelihood estimate; received signal strength indicator(RSSI); wireless sensor network;
Conference_Titel :
Computational Intelligence and Security (CIS), 2014 Tenth International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4799-7433-7
DOI :
10.1109/CIS.2014.26