Traditional bearings-only target motion analysis (TMA) statistical models assume a priori that measurements are independent when conditioned on the target. This paper presents a novel track-before-detect "empirical" maximum a posteriori (EMAP) approach in which measurements are assumed independent prior to the detection decision. The EMAP estimators proposed here are joint detection/estimation methods whose intended use is target tracking. A limiting case of the EMAP formulation is shown to be equivalent to the traditional maximum likelihood (ML) formulation. Triangulation and constant velocity target examples are presented. The EMAP algorithm is an iteratively re-weighted linear least squares algorithm for these problems, and has significantly lower computational complexity than the standard ML estimator.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A linear least squares algorithm for bearings-only target motion analysis


    Contributors:
    Streit, R.L. (author) / Walsh, M.J. (author)


    Publication date :

    1999-01-01


    Size :

    1199344 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    A Linear Least Squares Algorithm for Beatings-Only Target Motion Analysis

    IEEE; Aerospace and Electronics Systems Society | British Library Conference Proceedings | 1999


    Bearings Only Location Using Nonlinear Least Squares

    Mo, L. / Zhou, Y. / Xu, Y. et al. | British Library Conference Proceedings | 1997


    Bearings-only location using nonlinear least squares

    Mo Longbin / Xu Yaowei / Zhou Yiyu et al. | IEEE | 1997


    Observability Criteria for Bearings-Only Target Motion Analysis

    Nardone, Steven C. / Aidala, Vincent J. | IEEE | 1981


    Bearings-Only Maneuvering Target Motion Analysis from a Nonmaneuvering Platform

    Jauffret, Claude / Pillon, Denis / Pignol, Annie-Claude | IEEE | 2010