Optimum Reception in Non-Gaussian Electromagnetic Interference Environments: II. Optimum and Suboptimum Threshold Signal Detection in Class A and B Noise
David Middleton, Arthur D. Spaulding · 1983
In this second part of an ongoing study, the general problem of optimum and suboptimum detection of threshold (i.e. weak) signals in highly nongaussian interference environments is further, developed from earlier work ([la],[lb];[34]). Both signal processing algorithms and performance measures are obtained canonically, and specifically when the electromagnetic interference environment (EMI) is either Class A or Class B noise. Two types of results are derived: (1), canonical analytic threshold algorithms and performance measures, chiefly error probabilities and probabilities of detection; and (2), various typical numerical results which illustrate the quantitative character of performance. Suboptimum systems are also treated, among them simple cross– and auto–correlators (which are optimum in gaussian interference), and clipper–correlators which employ hard limiters (and are consequently optimum in