Statistical efficiency of composite position measurements from passive sensors

Richard W. Osborne III; Yaakov Bar-Shalom

doi:10.1117/12.883045

5 May 2011 Statistical efficiency of composite position measurements from passive sensors

Richard W. Osborne III, Yaakov Bar-Shalom

Proceedings Volume 8050, Signal Processing, Sensor Fusion, and Target Recognition XX; 805008 (2011) https://doi.org/10.1117/12.883045
Event: SPIE Defense, Security, and Sensing, 2011, Orlando, Florida, United States

Abstract

Combining line-of-sight (LOS) measurements from passive sensors (e.g., satellite-based IR, ground-based cameras, etc.), assumed to be synchronized, into a single composite Cartesian measurement (full position in 3D) via maximum likelihood (ML) estimation, can circumvent the need for nonlinear filtering. This ML estimate is shown to be statistically efficient, and as such, the covariance matrix obtainable from the Cramer-Rao lower bound provides a consistent measurement noise covariance matrix for use in a target tracking filter.

Citation Download Citation

Richard W. Osborne III and Yaakov Bar-Shalom "Statistical efficiency of composite position measurements from passive sensors", Proc. SPIE 8050, Signal Processing, Sensor Fusion, and Target Recognition XX, 805008 (5 May 2011); https://doi.org/10.1117/12.883045

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