Abstract
The problem of detecting small stochastic signals in poorly specified noise environments, often encountered in underwater acoustics, is considered. The array processing detectors are designed to exhibit a near‐optimum performance for nominal distributions and maintain high efficiency to changing noise environments by adapting their optimum nonlinearities using an m‐interval polynomial approximation (MIPA) of them. Sequential operation of the detectors is used to reduce the average time to decision. Furthermore, the assumption of independent samples is relaxed while temporal and spatial noise dependences are considered separately. A formulation is given that predicts the thresholds under the time‐dependent sampling in order to maintain the same error probabilities as in the independent sampling case. For the space‐dependent noise process, the thresholds remain constant for fixed error probabilities. Instead, the cross‐scores need to be adjusted to compensate for space dependence. The performance of these d...
Published Version
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