Locally robust array detectors for random signals

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Detection of random signals in arrays of receivers is considered when the exact distribution of the additive noise is not known. Locally robust correlator-type test statistics are obtained for weak-signal detection, for multivariate array noise densities in classes described by three different extensions of the univariate Tukey-Huber contaminated nominal density model. The robust correlator nonlinearities are shown to he of the form previously derived for known signal detection. In addition to robust correlator-type statistics, a quadratic-limiter-sum detector is investigated for robust performance in contaminated Ganssian noise.