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Conference Paper Adaptive Code Decision Algorithm for Real-Time Software Signal Generator
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Authors
Tae-Hee Kim, Cheon Sig Sin, Jae Hoon Kim
Issue Date
2015-10
Citation
International Conference on Control, Automation and Systems (ICCAS) 2015, pp.1384-1388
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ICCAS.2015.7364856
Abstract
In this paper, we proposed adaptive code decision algorithm for real-time signal generation. Until now, we have been tested to verify the performance and functionality of receiver using hardware GNSS signal simulator. But they are very expensive, may not be available for the signals of interest and consequently might not be always suitable for specialized research due to their lack of flexibility. So, recently, we used to software-based signal generator to test GNSS receiver. They offer a total control of all the parameters for simulation and specialized research as such multipath, jamming, spoofing. The adaptive code decision generation algorithm is the method of GNSS signal generation in real time similar to hardware simulator. Generally software signal generator use to code and carrier DCO. This method spends a lot of time to generate the IF signal because they calculated code value that is applied to sample per IF sample. So, we proposed the algorithm that calculate code value per IF sample block in order to reduce the calculation time of code value.
KSP Keywords
Calculation Time, Decision algorithm, GNSS receiver, GNSS signal, Generation algorithm, Hardware Simulator, Signal Generator, Signal generation, Software signal, real-time software