Virtual MIMO blind detection clustered WSN system

Wireless sensor network (WSN) is a energy-limited network which has lots of redundant data. This paper is based on virtual MIMO blind detection clustered wSn system and applies improved Hopfield Neural Network (HNN) blind algorithm to this system. The algorithm uses sequence with chaos initialization as the transmitting signals. In intra-cluster, we put forward double sigmoid Hopfield Neural Network (DSHNN) blind algorithm to accelerate convergence. SIC-Hopfield blind algorithm is proposed to combine advantages of virtual MIMO and HNN outside the cluster. Simulations demonstrate the superior performance of the proposed methods.