The Family of Affine Projection Algorithm with Dynamic Selection of Input Vectors

摘要：

To improve the convergence rate, multiple input vectors are used to update the filter coefficients in the affine projection algorithm (APA) family, however, different input vector affects the convergence differently. The ideal selection criterion of the input vectors is derived by the largest decrease of the mean-square deviation. This selection condition fits for different algorithms of the APA family. Based on the ideal selection criterion, a family of APAs which dynamically select input vectors is presented. The experimental results show that the proposed algorithms have fast convergence speed, small steadystate error compared to the conventional APAs. In addition, the proposed algorithms retain low overall computational complexity.

作者: Zhu Yi-yong Li Xiao Chen Jian-zhong Zhu Yong-gang

作者单位: Commanding Communications Academy,WuHan, China Nanjing Telecommunication Institute,Nanjing, China

会议类型: 国际会议

会议名称: 2010年无线通信与信号处理国际会议

会议地点: 上海

会议语种:英文

页码: 1-6

在线出版日期: 2010-10-20（万方平台首次上网日期，不代表论文的发表时间）