Discrete linear optimal and unbiased transversal filters are proposed for onboard receiver channels to estimate continuous/discrete time-varying state-space signal models. The solutions are first found in the batch form. For optimal filtering, the mean square initial state function is determined a posteriori by the discrete algebraic Riccati equation. The unbiased filter is also represented in the iterative Kalman-like form with no requirements for noise and initial state. The filtering error bound is found in the three-sigma sense via the noise power gain (NPG). A fast iterative algorithm for NPG is also supplied. A comparison with the Kalman channel is given employing the harmonic two-state space model.


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    Title :

    A Linear Optimal Transversal Filter for Time-Varying Receiver Channels


    Contributors:


    Publication date :

    2012-04-01


    Size :

    1056416 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



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