The authors consider the problem of estimating the parameters of a complex linear FM signal from a finite number of noisy discrete-time observations. An estimation algorithm is proposed, and its asymptotic (large sample) performance is analyzed. The algorithm is computationally simple, consisting of two fast Fourier transforms (FFTs) accompanied by one-dimensional searches for maxima. The variance of the estimates is shown to be close to the Cramer-Rao lower bound when the signal-to-noise ratio is 0 dB and above. The authors applied the algorithm to the problem of estimating the kinematic parameters of an accelerating target by pulse-Doppler radar. A representative test case was used to exhibit the usefulness of the algorithm for this problem, and to verify the analytical results by Monte Carlo simulations.<>


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Linear FM signal parameter estimation from discrete-time observations


    Beteiligte:
    Peleg, S. (Autor:in) / Porat, B. (Autor:in)


    Erscheinungsdatum :

    01.07.1991


    Format / Umfang :

    586992 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Extensions of Discrete‐Time Linear Estimation

    Bar‐Shalom, Yaakov / Li, X.‐Rong / Kirubarajan, Thiagalingam | Wiley | 2002




    State Estimation in Discrete‐Time Linear Dynamic Systems

    Bar‐Shalom, Yaakov / Li, X.‐Rong / Kirubarajan, Thiagalingam | Wiley | 2002


    Minimal-Parameter Attitude Matrix Estimation from Vector Observations

    Yaakov Oshman / F. Landis Markley | AIAA | 1998