A study of the maximum likelihood registration (MLR) algorithm for spatial alignment of multiple, possibly dissimilar (active or passive) sensors is presented. The MLR algorithm is a batch algorithm which outputs estimates of the registration parameters, registered sensor measurements and registered target location estimates, expressed in a common coordinate system. The Cramer-Rao type bound for registration of multiple dissimilar sensors is discussed and some numerical examples for sensor registration are presented in support of the theory.


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    Title :

    Maximum likelihood registration for multiple dissimilar sensors


    Contributors:
    Okello, N. (author) / Ristic, B. (author)


    Publication date :

    2003-07-01


    Size :

    396199 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English