Laser Radar Technology and Applications XI 2006
DOI: 10.1117/12.666404
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Simulation and modeling of return waveforms from a ladar beam footprint in USU LadarSIM

Abstract: Ladar systems are an emerging technology with applications in many fields. Consequently, simulations for these systems have become a valuable tool in the improvement of existing systems and the development of new ones. This paper discusses the theory and issues involved in reliably modeling the return waveform of a ladar beam footprint in the Utah State University LadarSIM simulation software. Emphasis is placed on modeling system-level effects that allow an investigation of engineering tradeoffs in preliminar… Show more

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Cited by 13 publications
(13 citation statements)
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“…We model the emission of the light pulse P e (t) with a Gaussian of length τ and power I 0 as done in [15]…”
Section: Modelling Of the Waveformmentioning
confidence: 99%
“…We model the emission of the light pulse P e (t) with a Gaussian of length τ and power I 0 as done in [15]…”
Section: Modelling Of the Waveformmentioning
confidence: 99%
“…To allow for multiple targets in the beam footprint, for non-uniform beam profiles, and for beams impinging on a sloped surface, the beam footprint is sampled and each "beamlet" is modelled individually. 5 The effect of this modelling for multiple returns or sloped surfaces is spread in the spectrum of f b .…”
Section: Transceiver Simulationmentioning
confidence: 99%
“…More advanced and complex models [13,17,35,38,48,49], can be used to simulate the propagation of the laser beam, for example, from laser energy distribution to atmospheric effects and beam interaction models, to receiver optics and received signal processing electronics models. However, this study is focusses on evaluating the processing speed of the Fig.…”
Section: Ladar Receivermentioning
confidence: 99%
“…This distribution is defined by the laser pulse energy E t in a unit of joules and pulse width s (full-width at halfmax power in a unit of seconds). The following equation [13,34] is used to model this distribution:…”
Section: Temporal Distributionmentioning
confidence: 99%
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