Blind detection algorithm based on WSN air quality monitoring system

Aiming at the blind detection of the air quality monitoring system, based on cluster processing of Wireless Sensor Network, combined with WSN blind detection internal model in literature, this paper proposes self-regulating mutation differential evolution to restore signals of reference sensor, then uses newly-constructed model to experiment on the system. Simulation demonstrates that compared with traditional difference blind equalization algorithm, BER of improved algorithm is obviously reduced while all internal sensor data can be restored under acceptable condition.