Name
Abstract | ||
|---|---|---|
As an alternative to floating point and fixed point arithmetics, block floating point arithmetic offers a compromise between computational accuracy and hardware complexity. Nevertheless, today practical applications are limited to Fast Fourier Transformation and digital filters. This work uses the block floating point format to realize the position estimation algorithm in Global Navigation Satellite System (GNSS) receivers, which is based on the Newton-Rhapson method. The precision of this novel approach is quantified by extensive simulations using synthetic as well as real GNSS data. The implementation of the position estimation algorithm using block floating point format on an application specific processor is introduced and compared to implementations on a standard embedded processor and in standard floating point arithmetic in terms of performance and costs. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ASAP.2010.5540988 | 21ST IEEE INTERNATIONAL CONFERENCE ON APPLICATION-SPECIFIC SYSTEMS, ARCHITECTURES AND PROCESSORS |
Keywords | Field | DocType |
estimation,satellites,newton raphson method,satellite navigation,time measurement,fixed point arithmetic,floating point,fast fourier transforms,global positioning system,computational complexity,floating point arithmetic,embedded processor,digital filters,hardware,accuracy,fast fourier transform,digital filter | Half-precision floating-point format,Floating-point unit,Computer science,Floating point,Double-precision floating-point format,Block floating-point,Arithmetic,Binary scaling,Minifloat,Extended precision | Conference |
ISSN | Citations | PageRank |
2160-0511 | 1 | 0.43 |
References | Authors | |
2 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| E. Tasdemir | 1 | 1 | 0.43 |
| Götz Kappen | 2 | 15 | 3.50 |
| Tobias G. Noll | 3 | 199 | 37.51 |