Energy-efficient detection system in time-varying signal and noise power
Le, Long
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https://hdl.handle.net/2142/45422
Description
Title
Energy-efficient detection system in time-varying signal and noise power
Author(s)
Le, Long
Issue Date
2013-08-22T16:39:42Z
Director of Research (if dissertation) or Advisor (if thesis)
Jones, Douglas L.
Department of Study
Electrical & Computer Eng
Discipline
Electrical & Computer Engr
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Date of Ingest
2013-08-22T16:39:42Z
Keyword(s)
Energy-efficient detection
Scheduler
Time-varying
Signal-to-Noise Ratio (SNR)
Estimation
Adaptive threshold
Abstract
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.
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