多重輸入多重輸出(multiple-input multiple-output, MIMO)通訊系統中,即可在傳送端與接收端使用多根天線進行訊號傳輸。然而在無線感測網路(wireless sensor networks, WSNs)中,感測網路的節點由於體積小並且每個節點只裝置一根天線,因此感測網路中各個節點之間合作式的交換資料機制,可形成一個虛擬多重輸入多重輸出(virtual multiple-input multiple-output, VMIMO)的系統為近年來討論的重點。為了改善純量型式 AP(scalar-form Affine Projection)演算法的收斂問題及降低運算複雜度,使用SMF(Set-Membership Filtering)的架構設計一組VMIMO系統的接收機,模擬結果顯示當採用SMF的架構來做演算法的更新時,可以有效的降低複雜度並且達到優異的效能。
In multiple-input multiple-output (MIMO) communication systems, the transmitter and receiver use multiple antennas to decrease the error rate of the transmitted signals effectively. However, in wireless sensor networks (WSNs), the nodes in a sensor network have small size and each node is equipped an antenna. A virtual multiple-input multiple-output (VMIMO) architecture is proposed recently, which allows cooperatively data exchange among each node in a sensor network. We consider to apply the adaptive filter to design a VMIMO receiver. In order to improve the convergence problem and reduce the complexity of the scalar-form Affine Projection, the method of set-membership filtering (SMF) is applied to the Affine Projection adaptive algorithms. Simulation results show that the SMF is able to reduce the computational complexity effectively and achieve a better performance.