Detection diversity of spatio-temporal data using Pitman's efficiency for low SNR regimes

Prashant Khanduri; Vinod Sharma; Pramod Kumar Varshney

doi:10.1109/GlobalSIP.2016.7905820

Detection diversity of spatio-temporal data using Pitman's efficiency for low SNR regimes

Prashant Khanduri, Vinod Sharma, Pramod Kumar Varshney

Department of Electrical Engineering & Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

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)
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	https://doi.org/10.1109/GlobalSIP.2016.7905820
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
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

Access to Document

10.1109/GlobalSIP.2016.7905820

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Detection diversity of spatio-temporal data using Pitman's efficiency for low SNR regimes. / Khanduri, Prashant; Sharma, Vinod; Varshney, Pramod Kumar.

2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. p. 143-147 7905820.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Khanduri, P, Sharma, V & Varshney, PK 2017, Detection diversity of spatio-temporal data using Pitman's efficiency for low SNR regimes. in 2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings., 7905820, Institute of Electrical and Electronics Engineers Inc., pp. 143-147, 2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016, Washington, United States, 12/7/16. https://doi.org/10.1109/GlobalSIP.2016.7905820

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