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Optimal Design of Multiparameter Multisensor Systems

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2 Author(s)
Zangl, H. ; Inst. of Electr. Meas. & Meas. Signal Process., Graz Univ. of Technol., Graz ; Steiner, G.

This paper addresses the optimal design of multiparameter multisensor systems with suboptimal estimators. For error propagation, the approach makes use of the so-called unscented transformation, which is an efficient way to determine the mean and variance of random distributions that undergo nonlinear transformations. It is demonstrated that a performance improvement can be achieved compared to the designs based on the Fisher information.

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Instrumentation and Measurement, IEEE Transactions on  (Volume:57 ,  Issue: 7 )