DocumentCode :
2937987
Title :
Differential correlation for Galileo/GPS receivers
Author :
Schmid, Andreas ; Neubauer, André
Author_Institution :
Infineon Technol. AG, Germany
Volume :
3
fYear :
2005
fDate :
18-23 March 2005
Abstract :
Current enhanced sensitivity GPS receivers developed for moderate indoor reception increase the observation period with noncoherent integration of the envelopes of coherently integrated predetection samples. The paper analyzes a novel method, differential correlation, where each current coherently integrated predetection sample is multiplied with the complex conjugate of the previous predetection sample. The products are then accumulated. The deterministic signal and stochastic noise components, together with their probability density functions and moments, are derived algebraically for differential correlation and conventional noncoherent integration, while also considering signal and implementation nonidealities. The paper shows that differential correlation can offer an average sensitivity gain over conventional noncoherent integration of around 1.5 dB.
Keywords :
Global Positioning System; correlation methods; indoor radio; integration; radio receivers; satellite navigation; sensitivity; Galileo receivers; coherently integrated predetection samples; complex conjugate; deterministic signal; differential correlation; enhanced sensitivity GPS receivers; moderate indoor reception; moments; noncoherent integration; probability density functions; sensitivity gain; stochastic noise components; Frequency synchronization; Gaussian noise; Global Positioning System; Line-of-sight propagation; Mobile communication; Noise figure; Probability density function; Propagation delay; Satellites; Stochastic resonance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
ISSN :
1520-6149
Print_ISBN :
0-7803-8874-7
Type :
conf
DOI :
10.1109/ICASSP.2005.1415869
Filename :
1415869
Link To Document :
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