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

Robust Radar Detection of a Mismatched Steering Vector Embedded in Compound Gaussian Clutter