In this article, an algebraic solution for localizing a moving target using a nonstationary multistatic radar system is proposed. By utilizing the quadruple hybrid measurement set, which consists of time delay, Doppler shift, angle of arrival, and angle rate measurements, the proposed method can estimate the target position and velocity vectors via a simple one-stage weighted least squares estimator without the need for introduction of the nuisance parameters, which enables us to locate the target with the minimum number of antennas. The proposed estimator takes the uncertainty concerned with the position and velocity of the antennas in its design. The proposed estimator is shown to be approximately unbiased and efficient under small Gaussian noise level assumption, that is, the estimator achieves the smallest possible variance (the Cramér–Rao lower bound) among all other unbiased estimators. Numerical simulations demonstrate substantial performance improvement of the proposed estimator over the state-of-the-art methods presented for moving target localization.


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    Title :

    Efficient Closed-Form Solution for 3-D Hybrid Localization in Multistatic Radars


    Contributors:


    Publication date :

    2021-12-01


    Size :

    943693 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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