Multi-Target Signal Estimation with Sensor Networks under Imperfect CSI

This paper solves the problem of multi-target signal estimation with the aid of sensor networks, given the condition that the channel state information is imperfect. First, an unbiased estimator is proposed. Subsequently, the variance of the estimation error is minimized by optimal data the fusion at fusion center. Moreover, the power allocation to different sensors is optimized, in order to extend the lifespan of the network. The incentive to do so is that, we assume that the sensors are battery operated. This makes the optimal power allocation crucial for a prolonged lifespan.