Journal ArticleDOI
Quasi-Optimal Demodulation of Pulse-Frequency Modulation Systems
Priti Hetrakul,John B. Moore +1 more
TLDR
In this article, the quasi-optimal on-line demodulation of PFM signals in the presence of white Gaussian channel noise was derived by applying the extended Kalman filter theory to a state-space signal model.Abstract:
Novel demodulator structures are derived using a theory for the quasi-optimal on-line demodulation of pulse-frequency modulated (PFM) signals in the presence of white Gaussian channel noise. The basic demodulator consists of a phase-locked loop with time-varying gain elements. Furthermore, its integrators are appropriately reset as each new pulse is received. This modulator may be augmented with additional integrators and gain elements to achieve quasi-optimal demodulation with delay. The quasi-optimal demodulation approaches optimal demodulation, in the minimum mean-square-error sense, as the signal-to-noise ratio increases. The various quasi-optimal receivers are derived by application of the extended Kalman filter theory to a state-space signal model.read more
Citations
More filters
Journal ArticleDOI
Fixed-Lag Smoothing for Nonlinear Systems with Discrete Measurements*
John B. Moore,Peter K. S. Tam +1 more
TL;DR: Approximate nonlinear filtering formulas are applied to yield fixed-lag smoothing results for nonlinear systems with discrete noisy observations, and assuming that the simplifications are valid, then the fixed- lag smoothed estimate is a better one than simply a filtered estimate.
Journal ArticleDOI
John Barratt Moore 1941–2013
TL;DR: Moore as mentioned in this paper was an electrical engineer who spent most of his distinguished career at the University of Newcastle and the Australian National University following industrial experience and graduate education in Silicon Valley, California, achieving all honours at a comparatively early age, and was recognized principally for his contributions to the field of control systems.
Journal ArticleDOI
Demodulator Structures for Pulse-Frequency-Modulated Signals
TL;DR: In this article, minimum mean square error demodulators for pulse-frequency-modulated signals are considered and the optimum demodulator structure is found and a suboptimum one is proposed that may be implemented by standard circuitry.
Proceedings ArticleDOI
Optimal control of coupled motors using PAM signals in presence of stochastic noises
TL;DR: In this article, the optimal stochastic control of coupled motors is discussed, where the unperturbed currents of the motors are designed to follow the prescribed trajectory in the absence of noise.
Demodulator Structures for
TL;DR: Theoptimumdemodulator structureound and asuboptimum one is proposed that may be implemented by standard circuitry and a minimum mean-square-error is considered.
References
More filters
Journal ArticleDOI
On the dynamical equations of conditional probability density functions, with applications to optimal stochastic control theory
TL;DR: In this article, it is shown that if the observation noise does not depend on the control, then the optimum control is bang-bang under essentially the same conditions that lead to a bang- bang solution when there is no noise in the observation.
Journal ArticleDOI
Demodulation of wideband, low-power FM signals
TL;DR: In this article, a combination of spectrum analysis and frequency detection is described which has some of the theoretical advantages of both, and the spectrum analysis circuit forms are compared with demodulators using frequency detectors, with and without FM feedback, in regard to theoretical noise sensitivities.
Journal ArticleDOI
Optimal demodulation of PAM signals
John B. Moore,P. Hetrakul +1 more
TL;DR: The performance of the optimal PAM demodulator is shown to be equivalent to that of an optimal discrete filter for the discrete data, and the fixed-lag smoothing results are in contrast to those for amplitude-modulated signals (AM).