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CRB Analysis for Mod-ADC with Known Folding-Count
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- Cheng, Yuanbo (author)
- University of Science and Technology of China, Department of EEIS, Hefei, China
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- Karlsson, Johan (author)
- KTH,Optimeringslära och systemteori
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- Li, Jian (author)
- University of Florida, Department of ECE, Gainesville, Florida, USA
- (creator_code:org_t)
- Institute of Electrical and Electronics Engineers (IEEE), 2023
- 2023
- English.
- In: 2023 IEEE 98th Vehicular Technology Conference, VTC 2023-Fall - Proceedings. - : Institute of Electrical and Electronics Engineers (IEEE).
- Conference paper (peer-reviewed)
Abstract
Subject headings
Close
- To overcome the dynamic range problems that conventional coarse quantized analog-to-digital converters (ADCs) suffer from, we consider the modulo ADCs with known folding-count (Mod-ADC-K). Two Cramér-Rao bounds (CRBs) are derived for signal parameter estimation from data generated by Mod-ADC-K, for both quantized and unquantized cases. Then we analyze their characteristics, and compare them to the conventional ADCs. Numerical examples are presented to verify the characteristics of Mod-ADC-K, and show that the low-bit Mod-ADC-K can mitigate the dynamic range problems.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Telekommunikation (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Telecommunications (hsv//eng)
Keyword
- Analog-to-digital converter (ADC)
- Cramér-Rao bound (CRB)
- dynamic range
- modulo ADC with known folding-count (Mod-ADC-K)
- parameter estimation
- quantization
Publication and Content Type
- ref (subject category)
- kon (subject category)
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