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oai:www.ideals.illinois.edu:2142/18395 2023-07-10 col_2142_8888 col_2142_5131 com_2142_8887 com_2142_234 com_2142_5130

Jones, Douglas L. Jun, David M. 2011-01-14T22:49:01Z 2011-01-14T22:49:01Z 2011-01-14T22:49:01Z Low-power, scalable detection systems require aggressive techniques to achieve energy efficiency. Algorithmic methods that can reduce energy consumption by compromising performance are known as being energy-aware. The cascade architecture is known for being energy-efficient, but without proper operation can end up being energy-inefficient in practice. In this thesis, we propose a framework that imposes energy-awareness on cascaded detection algorithms, which enforces proper operation of the cascade to maximize detection performance for a given energy budget. This is achieved by solving our proposed energy-constrained version of the Neyman-Pearson detection criterion, resulting in detector thresholds that can be updated to dynamically adjust to time-varying system resources and requirements. Sufficient conditions for a global solution for a cascade of an arbitrary number of detectors are given. Explicit solutions are derived for a two-stage cascade. Applied to a canonical detection problem, simulations show that our energy-aware cascaded detectors outperform an energy-aware detection algorithm based on incremental refinement, an existing alternate approach to developing energy-aware algorithms. Combining our framework with incremental refinement reveals a promising approach to developing energy-aware energy-efficient detection systems. Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2010-12-10T17:48:43Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 1 Jun_David.pdf: 377141 bytes, checksum: cf262619a2c47e1c5bc5637724091cf7 (MD5) Made available in DSpace on 2011-01-14T22:49:01Z (GMT). No. of bitstreams: 2 Jun_David.pdf: 377141 bytes, checksum: cf262619a2c47e1c5bc5637724091cf7 (MD5) license.txt: 4059 bytes, checksum: 415269e372f3621b626650b60c6ab0af (MD5) http://hdl.handle.net/2142/18395 en Copyright 2010 David Moses Jun energy-aware signal detection incremental refinement passive vigilance scalable systems An energy-aware framework for cascaded detection algorithms 2010-12 Electrical & Computer Eng 1933 Electrical & Computer Engr 1200 University of Illinois at Urbana-Champaign Thesis M.S. MS:Electr & Computer Eng-UIUC 10KS1200MS