Abstract-A framework for positioning, navigation and tracking problems using particle filters (sequential Monte Carlo methods) is developed. It consists of a class of motion models and a general non-linear measurement equation in position. A general algorithm is presented, which is parsimonious with the particle dimension. It is based on marginalization, enabling a Kalman filter to estimate all position derivatives, and the particle filter becomes low-dimensional. This is of utmost importance for highperformance real-time applications.Automotive and airborne applications illustrate numerically the advantage over classical Kalman filter based algorithms. Here the use of non-linear models and non-Gaussian noise is the main explanation for the improvement in accuracy.More specifically, we describe how the technique of map matching is used to match an aircraft's elevation profile to a digital elevation map, and a car's horizontal driven path to a street map. In both cases, real-time implementations are available, and tests have shown that the accuracy in both cases is comparable to satellite navigation (as GPS), but with higher integrity. Based on simulations, we also argue how the particle filter can be used for positioning based on cellular phone measurements, for integrated navigation in aircraft, and for target tracking in aircraft and cars. Finally, the particle filter enables a promising solution to the combined task of navigation and tracking, with possible application to airborne hunting and collision avoidance systems in cars.
The
dynamic character of the active centers has made it difficult
to unravel the reaction path for NH3-assisted selective
catalytic reduction (SCR) of nitrogen oxides over Cu-CHA. Herein,
we use density functional theory calculations to suggest a complete
reaction mechanism for low-temperature NH3-SCR. The reaction
is found to proceed in a multisite fashion over ammonia-solvated Cu
cations Cu(NH3)2
+ and Brønsted
acid sites. The activation of oxygen and the formation of the key
intermediates HONO and H2NNO occur on the Cu sites, whereas
the Brønsted acid sites facilitate the decomposition of HONO
and H2NNO to N2 and H2O. The activation
and reaction of NO is found to proceed via the formation of nitrosonium
(NO+) or nitrite (NO2
–) intermediates.
These low-temperature mechanisms take the dynamic character of Cu
sites into account where oxygen activation requires pairs of Cu(NH3)2
+ complexes, whereas HO–NO
and H3N–NO coupling may occur on single complexes.
The formation and separation of Cu pairs is assisted by NH3 solvation. The complete reaction mechanism is consistent with measured
kinetic data and provides a solid basis for future improvements of
the low-temperature NH3-SCR reaction.
A first-principles
microkinetic model is developed to investigate
the low-temperature ammonia-assisted selective catalytic reduction
(NH3-SCR) of NO over Cu-chabazite (Cu-CHA). The reaction
proceeds over NH3-solvated Cu sites by the formation of
H2NNO and HONO, which decompose to N2 and H2O over Brønsted acid sites. Nonselective N2O formation is considered by H2NNO decomposition over
the Cu sites. The adsorption of NH3 at oxidized Cu sites
is found to inhibit the reaction at low temperatures by hindering
NO adsorption. For the reactions, we find positive reaction orders
with respect to NO and O2, whereas the reaction order with
respect to NH3 is negative. The reaction orders and the
obtained apparent activation energy are in good agreement with experimental
data. A degree of rate control analysis shows that NH3-SCR
over a pair of Cu(NH3)2
+ is mainly
controlled by NO adsorption below 200 °C, whereas the formation
of HONO and H2NNO becomes controlling at higher temperatures.
The successful formulation of a first-principles microkinetic model
for NH3-SCR rationalizes previous phenomenological models
and links the kinetic behavior with materials properties, which results
in unprecedented insights into the function of Cu-CHA catalysts for
NH3-SCR.
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