Energy-efficient detection system in time-varying signal and noise power

In many detection applications with battery-powered or energy-harvesting sensors, energy constraints preclude the use of the optimal detector all the time. Optimal energy-performance trade-off is therefore needed in such situations. In many signal processing applications, the signal and noise power may vary greatly over time, which can be exploited to constrain energy consumption while maintaining the best possible performance. A detector scheduling algorithm based on the signal and noise power information is developed in this thesis. The resulting algorithm is simple due to its threshold-test structure and can be easily implemented with almost no overhead. A detection system with two detectors using the proposed scheduling scheme is estimated to greatly reduce the energy consumption for a wildlife monitoring application. Hardware implementation also consolidates the empirical evidence for the effectiveness of the proposed method.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Electrical & Computer Engr

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2013

Author dc:creator

• Le, Long

Contributors dc:contributor

• Jones, Douglas L.

• Energy-efficient detection
• Scheduler
• Time-varying
• Signal-to-Noise Ratio (SNR)
• Estimation
• Adaptive threshold

Statement dc:rights

• Copyright 2013 Long Le

Language dc:language

en

Handle dc:identifier

http://hdl.handle.net/2142/45422

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/45422