NDLI: Wideband localization via range likelihood based on reduced dataset

Content Provider	IEEE Xplore Digital Library
Author	Bartoletti, S. Wenhan Dai Conti, A. Win, M.Z.
Copyright Year	2015
Description	Author affiliation: ENDIF, Univ. of Ferrara, Ferrara, Italy (Bartoletti, S.; Conti, A.) \|\| LIDS, Massachusetts Inst. of Technol., Cambridge, MA, USA (Wenhan Dai; Win, M.Z.)
Abstract	Wideband localization commonly relies on accurate range information extracted from received waveforms, which can be obtained via hard-decision or soft-decision ranging. While hard-decision ranging based on energy samples has received much attention because of its low-complexity, soft-decision ranging based on waveform samples can significantly improve the localization accuracy at the cost of higher complexity. This paper proposes new soft-decision ranging techniques with low complexity for wideband localization. The proposed techniques adopt range likelihood functions obtained from a reduced dataset of the received waveform samples. Results show that the proposed soft-decision techniques enable localization with higher accuracy compared to hard-decision ranging.
Starting Page	93
Ending Page	96
File Size	143514
Page Count	4
File Format	PDF
e-ISBN	9781479965601
DOI	10.1109/CWIT.2015.7255160
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-06
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Distance measurement Electrostatic discharges Low earth orbit satellites Accuracy Complexity theory Wideband Niobium
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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