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

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

Le, Long ; Jones ; Douglas L.

关键词: Energy-efficient detection;    Scheduler;    Time-varying;    Signal-to-Noise Ratio (SNR);    Estimation;    Adaptive threshold;   

Others  :  https://www.ideals.illinois.edu/bitstream/handle/2142/45422/Long_Le.pdf?sequence=1&isAllowed=y

美国|英语

来源: The Illinois Digital Environment for Access to Learning and Scholarship

【 摘 要 】

In many detection applications with battery-powered or energy-harvestingsensors, energy constraints preclude the use of the optimal detector all thetime. Optimal energy-performance trade-off is therefore needed in such situations.In many signal processing applications, the signal and noise power mayvary 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 itsthreshold-test structure and can be easily implemented with almost no overhead. A detection system with two detectors using the proposed schedulingscheme is estimated to greatly reduce the energy consumption for a wildlifemonitoring application. Hardware implementation also consolidates the empirical evidence for the effectiveness of the proposed method.