Abstract
In this work, we use Pitman's efficiency to characterize the diversity of a spatio-temporal distributed detection system. Pitman's efficiency directly measures the detection ability of the data at low signal to noise ratios (SNRs). We study how the statistics of spatio-temporal distributed data affect the diversity of the system. We derive the diversity measure for the optimal likelihood ratio test (LRT) statistic for slow fading channels. Moreover, we capture the heterogeneity of channel gains and channel noise variances in our diversity expressions. Then, we compare our diversity measure with another one that was also proposed for low SNRs.
Original language | English (US) |
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Title of host publication | 2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 143-147 |
Number of pages | 5 |
ISBN (Electronic) | 9781509045457 |
DOIs | |
State | Published - Apr 19 2017 |
Event | 2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Washington, United States Duration: Dec 7 2016 → Dec 9 2016 |
Other
Other | 2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 |
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Country | United States |
City | Washington |
Period | 12/7/16 → 12/9/16 |
Keywords
- Distributed detection
- Spatial diversity
- Spatio-temporal data
ASJC Scopus subject areas
- Signal Processing
- Computer Networks and Communications