A particularly difficult problem in using GPR for land mine detection is the shallow depth at which many mines are buried. The scattered energy from a mine may be very small, whereas the specular scattering from the surface, as well as the direct coupling between transmitter and receiver, are often quite large. If the mine is shallow, the difference in propagation delay between these responses is very small, and resolving the mine from the specular surface reflection is difficult. Even if the radar bandwidth is sufficient to resolve closely spaced targets, detecting the smaller target is problematic. Typically, radar implements correlation (i.e., matched filter) processing. Although this processing maximizes response SNR, a matched filter is generally not an optimal estimator of target scattering, particularly when multiple scatterers are present. Generally, the time-domain response sidelobes of a very large (e.g., specular) target will obscure the smaller targets around it. This situation can be remeadiated by windowing the received data, and/or modifying the transmit signal. However, resolution can also be improved by modifying the radar processing. Both maximum likelihood and minimum mean squared error estimators are presented in this paper for detecting shallow objects. Using general a priori information about both the radar and the scattering problem (e.g., the mine response will follow the specular), linear estimators can be constructed which surpass the detection performance of matched filtering. These estimators are mathematically described, and their time-domain responses are examined. The performance of these estimators in detecting shallow objects is presented, along with comparisons to standard correlation processors.


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    Title :

    Minimum mean-squared error GPR processor for resolving shallow objects


    Contributors:
    Stiles, J.M. (author) / Beng Beh (author) / Guruvayurappan (author)


    Publication date :

    2001


    Size :

    9 Seiten, 6 Quellen




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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