Phase-Locked and Frequency Feedback Systems: Principles and Techniques

Klapper, Jacob A.; Frankle, John T.; Gupta, S. C.

doi:10.1109/tsmc.1974.4309383

Cited by 8 publications

(2 citation statements)

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“…A PLL-based circuit behaves as a nonlinear control system and its physical model in the signal space can be described by nonlinear nonautonomous difference or differential equations. In practice, numerical simulation is widely used for the analysis of PLL-based circuit nonlinear model (see, e.g., [Best, 2007, Bianchi, 2005, Goldman, 2007, Klapper, 2012, Razavi, 2003, Tranter et al, 2010 and others) since the rigorous analysis of nonlinear nonautonomous equations is often a very difficult task. However for the high-frequency signals, the explicit numerical simulation of the physical model of PLL-based circuit in the signal space is very complicated since one has to consider simultaneously both the very fast time scale of the signals and the slow time scale of phase difference between the signals.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear analysis of classical phase-locked loops in signal's phase space

Kuznetsov

Леонов

Yuldashev

et al. 2014

IFAC Proceedings Volumes

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Section: Introductionmentioning

confidence: 99%

Nonlinear analysis of classical phase-locked loops in signal's phase space

Kuznetsov

Леонов

Yuldashev

et al. 2014

IFAC Proceedings Volumes

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“…2 and 3. Prior to despreading, the chip-SNR is typically too low for attaining accurate carrier phase tracking [55], [56]. The despread signal is then entered into the low-pass filter of Fig.…”

Section: E Phase Tracking Loopmentioning

confidence: 99%

Primitive Polynomials for Iterative Recursive Soft Sequential Acquisition of Concatenated Sequences

et al. 2019

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An iterative initial sequence acquisition technique is proposed for the pseudo-noise signal derived from a pair of m-sequences used for generating the concatenated sequence, which relies on the soft-in-soft-out detection to improve the acquisition performance. This recursive soft sequential estimation technique has a linearly increasing complexity with the number of chips in the concatenated sequence. Receiving as few as S consecutive chips of a (2 S − 1)-chip sequence is sufficient for the local concatenatedsequence generator of the receiver to synchronize. Hence, this initial synchronization technique is eminently suitable for long m-sequences and concatenated sequences. Another key result is the comparison of m-sequences and concatenated sequences regarding the acquisition time. It is also observed that loworder primitive polynomials (PPs) achieve better performances than higher-order polynomials for both the m-sequences and concatenated sequences. When considering PPs having a higher number of taps, the exploitation of concatenated sequences is capable of achieving in excess of 3-dB signal-to-noise ratio gains over m-sequences.

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Novel Phase-Locked Loops With Enhanced Locking Capabilities

Shahruz¹

2001

Journal of Sound and Vibration

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Phase-Locked and Frequency Feedback Systems: Principles and Techniques

Cited by 8 publications

References 0 publications

Nonlinear analysis of classical phase-locked loops in signal's phase space

Nonlinear analysis of classical phase-locked loops in signal's phase space

Primitive Polynomials for Iterative Recursive Soft Sequential Acquisition of Concatenated Sequences

Novel Phase-Locked Loops With Enhanced Locking Capabilities

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