Title :
A Laser Altimeter Performance Model and Its Application to BELA
Author :
Gunderson, Kurt ; Thomas, Nicolas ; Rohner, Marcel
Author_Institution :
Bern Univ.
Abstract :
The BepiColombo laser altimeter (BELA) is among the instruments that have been confirmed for flight aboard BepiColombo, which is the European Space Agency´s cornerstone mission to the planet Mercury. The harsh environmental conditions around Mercury, accompanied by stringent spacecraft resource limitations, impose challenging constraints on BELA´s architecture. To assist with the convergence upon an instrument configuration that can meet experiment requirements within the allocated resource budgets, we have developed a predominantly analytical model of the BELA system performance. The model draws on a diverse set of instrument and environmental parameters to predict signal-to-noise ratios, false detection probabilities (PFDs), and range-measurement uncertainties (sigmaz). The model shows that the baseline instrument is capable of meeting the performance requirements of PFD<0.1 and sigmaz<10 m out to altitudes of 1050 km. The PFD is shown to be the critical figure of merit for design considerations. PFD-conserving resource minimization favors transimpedance amplifier bandwidths as low as tens of megahertz. The instrument, the model, and a set of model outputs are described. The BepiColombo payload is scheduled for launch in 2013
Keywords :
Mercury (planet); altimeters; space vehicles; AD 2013; BepiColombo laser altimeter; BepiColombo payload; European Space Agency; Mercury; baseline instrument; critical figure of merit; false detection probabilities; instrument configuration; laser altimeter performance model; range-measurement uncertainties; signal-to-noise ratios; spacecraft resource limitations; transimpedance amplifier bandwidths; Analytical models; Convergence; Instruments; Laser modes; Mercury (planets); Phase frequency detector; Planets; Resource management; Space missions; Space vehicles; Altimetry; extraterrestrial exploration; laser applications; modeling;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
DOI :
10.1109/TGRS.2006.880623