Detection and States Estimation of Multiple Mobile Targets in Wireless Sensor Network

By introducing a wireless fading model, we rebuild the perception model of a wireless sensor network. The profiles of a multi-target and multi-sensor mixing matrix at each frequency are estimated as samples of the spectrum superposition of multiple targets. A differential evolution approach is employed to separate multiple targets, at the same time, to decouple path fading and Doppler shifts in the frequency domain. Each column of the mixing matrix preserves the waveform that is formed by the effects of corresponding targets on nodes. Based on this modeling, the states of multiple targets, including the location, velocity, and motion direction are estimated.