For colocated multiple-input multiple-output (MIMO) radar target detection in colored noise, we propose two adaptive detectors according to the Rao and Wald test criteria. These detectors do not need training data and possess constant false alarm rate properties. We investigate the manner in which they work. From a detection viewpoint, we show that there is no need for matched filtering for colocated MIMO radar.We derive the statistical distributions of the proposed detectors and then obtain the analytical expressions for the probabilities of false alarm and detection for both deterministic and random signals. Numerical examples are provided to compare the detection performance of the Rao andWald tests with an existing detector.


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    Title :

    Adaptive detection without training data in colocated MIMO radar


    Contributors:
    Weijian Liu, (author) / Yongliang Wang, (author) / Jun Liu, (author) / Wenchong Xie, (author) / Hui Chen, (author) / Wenkun Gu, (author)


    Publication date :

    2015-07-01


    Size :

    479364 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



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