Locally robust array detectors for random signals

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.