Power adaptation for vector parameter estimation according to Fisher information based optimality criteria

• Optimal power allocation problems are formulated for vector parameter estimation by considering various Fisher information based optimality criteria. Various closed-form solutions obtained the proposed via optimization theoretic analyses. After analyzing linear systems with additive noise, extensions provided nonlinear system models under certain conditions and in presence of nuisance parameters. The optimal adaptation problem is investigated according to By an observation model that involves a transformation noise component arbitrary probability distribution, six different on objective functions. Via approaches, derived problems. Also, results extended cases which parameters exist or types transformations applied vector. Numerical examples presented investigate performance strategies.