Sequential robust m-interval polynomial approximation (MIPA) partition detectors

In this paper, the problem of signal detection in severe and/or changing noise environment is considered. The detector operates at near-optimum levels for a particular noise environment and is robust by maintaining high efficiency in other than nominal noise environments by adapting its optimum nonlinearity using an m-interval approximation of it. It is shown that the sequential MIPA detectors are asymptotically optimum, increase their transmission rate up to four times as compared to their fixed-sample size counterparts, and are highly insensitive to variation of noise if compared to detectors based on min-max theory.