2019 11th International Conference on Wireless Communications and Signal Processing (WCSP) 2019
DOI: 10.1109/wcsp.2019.8928144
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A New Inter-Satellite Ranging Method Based on Pseudo-Range and Dual-Frequency Carrier Phase

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Cited by 5 publications
(6 citation statements)
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“…Most recent works focus on carrier ranging methods assisted by pseudo-random code ranging, which allows higher precision range values. For example, [110] proposed a pseudo-code-assisted carrier ranging algorithm, which is the combination of pseudo-range and dual-frequency carrier phase ranging methods. In [111], the impact of the frequency selection on the ranging accuracy was analyzed.…”
Section: ) Inter-satellite Ranging Based On Rf Signalsmentioning
confidence: 99%
“…Most recent works focus on carrier ranging methods assisted by pseudo-random code ranging, which allows higher precision range values. For example, [110] proposed a pseudo-code-assisted carrier ranging algorithm, which is the combination of pseudo-range and dual-frequency carrier phase ranging methods. In [111], the impact of the frequency selection on the ranging accuracy was analyzed.…”
Section: ) Inter-satellite Ranging Based On Rf Signalsmentioning
confidence: 99%
“…Most recent works focus on carrier ranging methods assisted by pseudo-random code ranging, which allows higher precision range values. For example, [109] proposed a pseudo-code-assisted carrier ranging algorithm, which is the combination of pseudo-range and dual-frequency carrier phase ranging methods. In [110], the impact of the frequency selection on the ranging accuracy was analyzed.…”
Section: ) Inter-satellite Ranging Based On Rf Signalsmentioning
confidence: 99%
“…A new type of algorithm, named recursive LS parameter estimation methods, is also used for integrating the carrier phase observation and pseudorange, which has constructed a cost function to integrate typical measurements and requires prior accuracy information. The LS integrating method has designed the observation form for the raw measurements as Equation (12).…”
Section: Double-epochs Least-squares Fusion Algorithmmentioning
confidence: 99%
“…This manuscript enhanced the DELS by adding epoch at one-time filtering, which forms a new virtual observation as illustrated in Equation ( 25), whose variance-covariance matrix information has the same calculation method as that of Equation ( 15) but an unequal measure because the size and value of Equation ( 23) are both different from that of Equation (12).…”
Section: Multi-epochs Least-squares Fusion Algorithmmentioning
confidence: 99%
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