A KNOWN-SIGNAL DETECTOR BASED ON RANKS IN WEAKLY DEPENDENT NOISE

Locally optimum rank detection of known signals under a weakly depende nt noise model is considered in this paper. The weakly dependent noise model is known to be useful for modeling inter-user interference, whi ch is important in the synthesis and analysis of mobile communication systems. For good weak-signal detection performance under any specifie d noise probability density function, the locally optimum detector is derived based on signs and ranks of the observation. It is also shown that the locally optimum rank detector has the same asymptotic perform ance as the locally optimum rank detector which uses the actual values of the observations.