A new class of detectors based on orthonormal polynomial approximations in properly selected subintervals is considered. It is found that many well-known robust detectors are subclasses of the new class. In addition to the properties, possible implementation of the detectors is presented. Exten- sive numerical evaluations indicate that the new detector al- ways maintains a nearly optimum performance, in the context of ARE, regardless of the degree of noise contamination and is insignificantly influenced by unspecified variations in noise densities. Moreover, the new detectors are realizable in real time. Several suggestions are made for further improvement of the new detectors.
['Julian F. Y. Cheung', 'Ludwik Kurz']
A Generalized M-Interval Partition Detector with Application to Signal Detection in Impulsive Noise