DocumentCode
2421288
Title
A Method for Emphasizing Signal Detection in Wireless Sensor Network Radio Frequency Array Operation
Author
Lintz, W.A. ; McEachen, John C.
Author_Institution
Dept. of Electr. & Comput. Eng., Naval Postgrad. Sch., Monterey, CA
fYear
2009
fDate
5-8 Jan. 2009
Firstpage
1
Lastpage
10
Abstract
We present the design of a randomly distributed radio frequency signal detection and reception array constructed of wireless sensor network nodes. The design stresses initial signal detection using the wireless network array. All other array operations depend on detecting a signal of interest prior to activating follow-on sequences of signal processing, potentially including emitter geolocation and signal reception/demodulation. Of specific concern for network operations is conservation of energy costs while providing an operable array. Using the Neyman-Pearson criterion, a desired aperture can be determined providing an optimal probability of detection against an acceptable false alarm rate. Control of these parameters will be based on usage of the distributed wireless sensor nodes. The sensor nodes will be segmented into sub-arrays to produce the desired aperture. Upon signal detection, the network may then further optimize the aperture for purposes of increasing signal to noise ratio in signal processing.
Keywords
array signal processing; probability; signal detection; wireless sensor networks; distributed radio frequency signal detection; follow-on sequences; optimal probability; radiofrequency array operation; signal reception-demodulation; signal to noise ratio; wireless sensor network; Apertures; Array signal processing; Demodulation; Radio frequency; Sensor arrays; Signal design; Signal detection; Signal processing; Stress; Wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
System Sciences, 2009. HICSS '09. 42nd Hawaii International Conference on
Conference_Location
Big Island, HI
ISSN
1530-1605
Print_ISBN
978-0-7695-3450-3
Type
conf
DOI
10.1109/HICSS.2009.19
Filename
4755824
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