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    The Marginal Bayesian Cramér–Rao Bound for Jump Markov Systems

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    The Marginal Bayesian Cramér–Rao Bound for Jump Markov Systems

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    In this letter, numerical algorithms for computing the marginal version of the Bayesian Cramér–Rao bound (M-BCRB) for jump Markov nonlinear systems and jump Markov linear Gaussian systems are proposed. Benchmark examples for both systems illustrate that the M-BCRB is tighter than three other recently proposed BCRBsFunding agencies:  project Scalable Kalman Filters - Swedish Research Council (VR); Excellence Center ELLIIT</p
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