Modeling and adaptive cancellation of industrial noise

Involvement of wireless technologies in Industrial environment obligates the identification and modeling of present noise and interferences. Such extraneous signals exhibit self similar structures, repetitive patterns and hence cannot be modeled conventionally as white noise. In this paper, we therefore propose to model them as color noise. Patterns of several colors of industrial noise are generated and analyzed in terms of their correlation strengths. The obtained results signify the existence of the correlated reference noise, mandatory for adaptive noise canceler (ANC). Further, no prior information related to signal and noise is necessitated. Hence, we suggest that the signal corrupted with such fractals can be applied and adaptively filtered out using ANC. Our simulation results ascertain the use of this principle for the exclusion of Industrial noise and interferences.