Kalman and Subspace-based Adaptive Digital Receiver Algorithms

• Main Authors: Wen-Ben Huang, 黃文彬
• Other Authors: none
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/55315302842889371704

碩士 === 國立中正大學 === 通訊工程研究所 === 96 === This thesis focuses on channel estimation based on Kalman filters and subspace tracking algorithms in OFDM (Orthogonal Frequency Division Multiplexing) systems. First, we use the LS method to obtain an initial estimate of channels, and then use Kalman and subspace based algorithms to keep track of channel characteristics. Since traditional subspace analysis based on SVD exhibits high complexity, the PASTd algorithm is used for blind synchronous CDMA multiuser detection to reduce complexity. We compare the convergence performance of PASTd, APA (affine projection algorithm), and the low-complexity LMS (least mean square) algorithm. The APA algorithm is shown to achieve higher signal to interference ratio (SIR) at the cost of moderately higher complexity.