  The problem of radar detection in compound Gaussian clutter when a radar
signature is not completely known has not been considered yet and is addressed
in this paper. We proposed a robust technique to detect, based on the
generalized likelihood ratio test, a point-like target embedded in compound
Gaussian clutter. Employing an array of antennas, we assume that the actual
steering vector departs from the nominal one, but lies in a known interval. The
detection is then secured by employing a semi-definite programming. It is
confirmed via simulation that the proposed detector experiences a negligible
detection loss compared to an adaptive normalized matched filter in a perfectly
matched case, but outperforms in cases of mismatched signal. Remarkably, the
proposed detector possesses constant false alarm rate with respect to the
clutter covariance matrix.
