Constant-round zero-knowledge proofs of knowledge with strict polynomial-time extractors for NP |
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Authors: | HongDa Li DengGuo Feng |
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Affiliation: | 1. College of Mechatronics and Automation, National University of Defense Technology, Changsha, 410073, China 2. Advance Technology Labs, Wipro Technologies, Chennai, India
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Abstract: | Beidou or COMPASS is a Chinese GNSS (global navigation satellite system). Like the GPS receiver, the COMPASS receiver also faces the challenge of choosing an optimal bandwidth to satisfy both anti-jamming capability and dynamics adaptation simultaneously. GPS/INS (inertial navigation system) deep integrated navigation system has solved this problem by fusing GPS baseband signal and INS information in a deeply coupled mode. In this study, a COMPASS B3 frequency is considered and a traditional federated GPS/INS deep integration model is used to derive a single-filter-structure based COMPASS/INS deep integration model. Besides, a double-filter-structure based COMPASS/INS deep integration model is proposed. The simulation results show a better carrier tracking performance, especially a better dynamics adaptation. The impact of IMU errors and vehicle’s dynamics on carrier tracking performance of the double-filter-structure based COMPASS/INS deep integrated navigation system are evaluated in simulated and field environments. Simulation and field test results are in accordance with the theory analysis. |
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Keywords: | zero-knowledge proofs proofs of knowledge constant-round strict polynomial-time extractors |
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