Optimum FIR array filters

An optimum finite impulse response (FIR) filter bank is derived that recovers a desired signal from an array of sensors in the presence of random sensor noise and one or more coherent interfering noise sources. The required filter order is determined by the relative delays between the signal and coherent noise at each sensor, and is independent of the time duration of either the signal or coherent noise. Usually, the presence of only three sensors is sufficient to be able to eliminate the effect of coherent noise sources provided the filter order M is sufficiently large. >