|A Novel Particle Filter-based Digital Phase-locked Loop Robust Against Quantization Error
Jun Ho Chung, Sung Hyun You, Jung Min Pak, Jeong Hoon Kim, Myo Taeg Lim*, and Moon Kyou Song*
International Journal of Control, Automation, and Systems, vol. 15, no. 1, pp.457-461, 2017
Abstract : "Using digital phase-locked loops (DPLL) is an efficient way of estimating phase information. To obtain
accurate phase information, the Kalman filter (KF) has become a powerful tool in many applications. In digital
systems, the DPLL measurement is transformed into a quantized measurement. During this process, missing measurement
information, known as quantization errors, certainly occurs. However, quantization errors are an inevitable
problem in digital system implementation, where the KF-based DPLL (KFDPLL) may show poor estimation performance.
In order to estimate accurate phase information in the presence of quantization errors, we propose a particle
filter-based DPLL (PFDPLL) to overcome the poor performance of the KFDPLL. Through numerical examples, we
show that the PFDPLL is more robust against quantization errors than the KFDPLL."
Digital phase locked-loop, particle filter, estimation, quantization error.
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