A digital fll and its steady-state performance analysis in z domain

Han, Miao; Jiang, Ning; Zhao, Dan; Dou, Jinfang

doi:10.1049/cp.2015.1141

Cited by 2 publications

(1 citation statement)

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“…Curran et al [1] used the FLL to analyze in detail the characteristics of four commonly used frequency discriminators and their effects on the overall loop performance. Han et al [2] studied the all-phase mathematical model of the typical digital frequency locked loop (DFLL) in the Z-domain and compared the dynamic performance of the DFLL with that of the analog frequency locked loop (AFLL). Mo et al [3] proposed an algorithm for the FLL assisting the PLL-based fuzzy control, which can automatically switch between a pure Kalman filter (KF)-based PLL, pure KF-based FLL, and KF-based FLL-assisted PLL and can automatically adjust the noise bandwidth.…”

Section: Introductionmentioning

confidence: 99%

Comparison of the Segmentation Results of Two Carrier Tracking Loop Types and Analysis of Theoretical Influencing Factors

et al. 2021

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This paper proposes an accurate quantitative segmentation method by analyzing the probability distribution of tracking variance and strict derivation based on the tracking loop theory. The segmentation points are taken as characteristics of phase lock loop (PLL) and frequency lock loop (FLL) performances, and the two factors that cause the performance difference are discriminator gain and filtering coefficient, which denote proportional and integration coefficients, respectively. The filtering coefficients lead to a difference of 2.5 dB-Hz between the FLL and PLL. Moreover, through the analysis of the normalized bandwidth and phase margin, it is found that the integration time and bandwidth need a dynamic balance to achieve the best performance. Finally, the simulation results and real data are in good agreement with the theoretical analysis results. The minimum mean error rate of the deviation between the real data and the theoretical data is only 1.8%. In the proposed method, the influence of external hardware factors on the tracking loop is removed, and the loop design factors are modeled directly. Instead of testing the denoising performance based on the ranging and angle measuring error after location calculation, the filter coefficient is proposed to evaluate the processing performance of the tracking loop objectively and directly at the theoretical level, which proposes a new performance evaluation method at the theoretical level. The results presented in this study provide theoretical support for the design of a new-type tracking loop with enhanced performances.

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Section: Introductionmentioning

confidence: 99%