Title :
Link and energy adaptive UWB-based embedded sensing with renewable energy
Author :
Junlin Chen ; Dong Zhao ; Lei Wang
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Connecticut, Storrs, CT, USA
Abstract :
A new link and energy adaptive UWB-based sensing system is proposed to maximize the detection time coverage of UWB-based pulse radar in embedded sensing applications powered by renewable energy. By jointly considering the link information between the transmitter and receiver of the UWB radar as well as the non-deterministic characteristics of the renewable energy, the proposed system dynamically adjusts the pulse repetition frequency of the UWB radar to enhance the energy efficiency. Simulation results demonstrate that the proposed system can significantly improve the average detection time coverage as compared with the conventional system. The proposed technique is also insensitive to battery issues such as limited battery capacity.
Keywords :
ultra wideband radar; UWB-based pulse radar; average detection time coverage; battery issue; embedded sensing application; energy efficiency; limited battery capacity; link information; link-energy adaptive UWB-based embedded sensing; nondeterministic characteristics; pulse repetition frequency; renewable energy; Batteries; Receivers; Renewable energy sources; Sensors; Signal to noise ratio; Transceivers; Ultra wideband radar;
Conference_Titel :
Circuits and Systems (ISCAS), 2013 IEEE International Symposium on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-5760-9
DOI :
10.1109/ISCAS.2013.6572220