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• W2991569582 abstract "This paper introduces a phase tracking method with a computational algorithm for planetary radio science implemented on NVIDIAGPUs. In contrast to the phase-locked loop (PPL) phase counting method used in traditional Doppler data processing, this methodfits the tracking data with optimal parameters into the shape expressed by Taylor expansion. The Differential Evolution (DE) al-gorithm is employed for polynomial fitting. In order to cope with the high computational intensity of the proposed phase trackingmethod, graphics processing units (GPUs) are employed. The method estimates the instantaneous phase, the frequency, the deriva-tive of frequency (line-of-sight acceleration) and the total count phase for different integration scales. These observables can befurther used in planetary radio sciences. The new method was tested on MEX (Mars Express, ESA) and Chang’E 4 relay satellite(China) tracking data. In a real experiment with 400K data block size and ∼80,000 DE solver objective function evaluations, wewere able to achieve the target convergence threshold in 6.5 seconds, executing real-time processing on NVIDIA GTX580 and2×NVIDIA K80 GPUs, respectively. The instantaneous Doppler precision for occultation research of this method is higher thanthe result of traditional Doppler method. The precision of the integral Doppler (60s integration) was 2 mrad/s and 4 mrad/s forMEX(3-way) and Chang’E 4 relay satellite(3-way) respectively which is equal to traditional Doppler result." @default.
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• W2991569582 date "2020-01-15" @default.
• W2991569582 modified "2023-10-14" @default.
• W2991569582 title "A GPU-based phase tracking method for planetary radio science applications" @default.
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• W2991569582 doi "https://doi.org/10.1088/1361-6501/ab58e5" @default.
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