一种低复杂度自适应信道估计方案

针对最小平方估计方法精度有限的问题，该文提出一种自适应信道估计方案。该方案首先采用矩阵对角化的思想对最小均方误差估计方法进行改进，使得其在保持估计精度的同时大幅度降低计算复杂度。然后根据自适应的理论提出一种新的方案，该估计方案能够根据当前信道状况自适应地选择合适的算法进行信道估计，显示了较高的灵活性。仿真结果表明，该方案可以在计算复杂度较低的情况下进一步改善系统的误码率和均方误差，具有良好的实际应用价值。

A Low Complexity Adaptive Scheme for Channel Estimation

To solve the problem of limited convergence in Least Square(LS) estimation method,an improved scheme is proposed.At first,the scheme uses the idea of matrix diagonalization to improve the Minimum Mean Square Error(MMSE) estimation method,making it to reduce greatly the complexity while maintain the estimate convergence.Then,a new scheme is proposed according to the adaptive theory,the estimate scheme can select the corresponding algorithm to estimate adaptively according to the state of current channel,which shows its high flexibility.The simulation result shows that using this scheme can further improve the Bit Error Rate(BER) and Mean Square Error(MSE) with low computational complexity,which is promising for practical applications.