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Proceedings Paper

New algorithms for estimating spacecraft position using scanning techniques for deep space network antennas
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Paper Abstract

As more and more nonlinear estimation techniques become available, our interest is in finding out what performance improvement, if any, they can provide for practical nonlinear problems that have been traditionally solved using linear methods. In this paper we examine the problem of estimating spacecraft position using conical scan (conscan) for NASA's Deep Space Network antennas. We show that for additive disturbances on antenna power measurement, the problem can be transformed into a linear one, and we present a general solution to this problem, with the least square solution reported in literature as a special case. We also show that for additive disturbances on antenna position, the problem is a truly nonlinear one, and we present two approximate solutions based on linearization and Unscented Transformation respectively, and one "exact" solution based on Markov Chain Monte Carlo (MCMC) method. Simulations show that, with the amount of data collected in practice, linear methods perform almost the same as MCMC methods. It is only when we artificially reduce the amount of collected data and increase the level of noise that nonlinear methods offer better accuracy than that achieved by linear methods, at the expense of more computation.

Paper Details

Date Published: 25 May 2005
PDF: 8 pages
Proc. SPIE 5809, Signal Processing, Sensor Fusion, and Target Recognition XIV, (25 May 2005); doi: 10.1117/12.606001
Show Author Affiliations
Lingji Chen, Scientific Systems Co., Inc. (United States)
Nanaz Fathpour, Jet Propulsion Lab. (United States)
Raman K. Mehra, Scientific Systems Co., Inc. (United States)

Published in SPIE Proceedings Vol. 5809:
Signal Processing, Sensor Fusion, and Target Recognition XIV
Ivan Kadar, Editor(s)

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