LSMI Algorithm Based on Inverse QR Decomposition

摘要：

Diagonal loaded sample-matrix inversion (LSMI) algorithm requires a high computational complexity. Thus, a new computationally efficient implementation for LSMI algorithm is presented, which is based on an inverse QR decomposition. The new method inserts the diagonal loading by only setting initial inverse Cholesky factor. It can offer good numerical properties and support parallel implementation with VLSI while avoiding backsubstitution operations. Hence, the new method can be applied for real-time signal processing. Simulations support the new algorithm.

作者: CAO Jian-shu WANG Xue-gang

作者单位: College of Electronic Engineering University of Electronic Science and Technology of China Chengdu, Sichuan, China

会议类型: 国际会议

会议名称: 2006 International Conference on Communications,Circuits and Systems(第四届国际通信、电路与系统学术会议)

会议地点: 广西桂林

会议语种:英文

页码: 262-265

在线出版日期: 2006-06-25（万方平台首次上网日期，不代表论文的发表时间）