Optimal Sensor System Design for State Reconstruction

R. L. Kosut, K. M. Kessler, A. Arbel*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


A method is developed to evaluate the relationship between cost and performance in sensor system design. The conflicting requirements of minimizing cost and maximizing performance are met by a tradeoff analysis. Sensor cost is set proportional to systematic precision (defined as the inverse of the systematic error variance), and system performance is chosen to be a measure of the Cramer-Rao lower bound on the unknown parameter estimation accuracies. Expressions for performance sensitivities are developed as well as the necessary conditions for an extremum of the optimal precision problem.

Original languageEnglish
Pages (from-to)242-244
Number of pages3
JournalIEEE Transactions on Automatic Control
Issue number1
StatePublished - Feb 1982


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