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Quantization-loss reduction for 1-bit BOC positioning

  • Technical University of Munich

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Scopus citations

Abstract

Accurate time-delay measurement is essential for positioning with Global Navigation Satellite Systems (GNSS). For mobile receivers small cost, moderate complexity and low energy consumption are desirable. In contrast, Safety-of-Life (SoL) applications require fast processing in order to meet strict time constraints. Concerning these technical considerations, single bit analog-to-digital converters (ADC) are highly attractive as they are simple to build, require low energy and allow to realize high sampling rates and fast digital processing. On the other hand, such systems introduce a loss in the estimation accuracy. In this work we derive a mathematical model for 1-bit GNSS receivers, which takes into account the effects of the analog filters and the non-linear quantizer in the receiver front-end. Based on this refinement we derive analytic formulations for the receiver performance by resorting to the estimation theoretic tools which have become popular for the analysis of ideal receivers with infinite resolution. Finally, we verify the 1-bit quantization-loss for time-delay estimation systems, acting in low SNR scenarios, and investigate possible approaches to reduce this degradation by adjusting the analog front-end.

Original languageEnglish
Title of host publicationInstitute of Navigation International Technical Meeting 2013, ITM 2013
Pages509-518
Number of pages10
StatePublished - 2013
EventInstitute of Navigation International Technical Meeting 2013, ITM 2013 - San Diego, CA, United States
Duration: 28 Jan 201330 Jan 2013

Publication series

NameInstitute of Navigation International Technical Meeting 2013, ITM 2013

Conference

ConferenceInstitute of Navigation International Technical Meeting 2013, ITM 2013
Country/TerritoryUnited States
CitySan Diego, CA
Period28/01/1330/01/13

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

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