DocumentCode :
2434202
Title :
Minimizing area costs in GPS applications on a programmable DSP by code compression
Author :
Saastamoinen, P. ; Nurmi, Jari ; Saastamoinen, I. ; Laiho, Mika
Author_Institution :
Dept. of Comput. Syst., Tampere Univ. of Technol., Tampere, Finland
fYear :
2009
fDate :
5-7 Oct. 2009
Abstract :
The amount of applications requiring personal satellite based navigation is growing rapidly at the moment. Complexity of the GPS (Global Positioning System) navigation algorithms and thus the memory requirements for the systems are growing at the same pace as the demands from customers. The large program memory footprint can be efficiently reduced by code compression. In this paper we describe in detail the analysis and compression procedures of typical GPS functions, as well as the on-chip decompression flow. For the GPS functions, our compression scheme achieves compression ratio of 55% at best.
Keywords :
Global Positioning System; digital signal processing chips; GPS navigation algorithm; Global Positioning System; area cost minimization; code compression; on-chip decompression flow; personal satellite based navigation; program memory footprint; programmable DSP; Application software; Central Processing Unit; Costs; Decoding; Digital signal processing; Encoding; Global Positioning System; Hardware; Logic; Satellite navigation systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System-on-Chip, 2009. SOC 2009. International Symposium on
Conference_Location :
Tampere
Print_ISBN :
978-1-4244-4465-6
Electronic_ISBN :
978-1-4244-4467-0
Type :
conf
DOI :
10.1109/SOCC.2009.5335669
Filename :
5335669
Link To Document :
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