Zero-based blind channel estimation and equalization
Yun Ye · 2008
Due to multipath propagation characteristics of frequency-selective channels, inter-symbol interference (ISI) is a major obstacle in high speed data transfer.At high speeds of data transfer, blind estimation is also necessary to fully utilize the available bandwidth.Therefore, blind channel estimation and subsequent equalization are necessary at the receiver to combat lSI.In this thesis, zero based blind channel estimation and equalization algorithms are proposed.For point to point communication systems, a single input single output (SISO) finite impulse response (FIR) channel model is used to describe the equivalent baseband system.Channel coefficient estimation and channel zero estimation for a minimum phase (MP) FIR channel is initially presented.It is shown that parameter estimation based on channel zeros is a natural and efficient way to estimate the channel coefficients.Furthermore, the estimation performance of the proposed algorithms through this approach can reach the bounds of blind channel parameter estimation.Based on the development of MP channel parameter estimation, blind channel parameter estimation algorithms for non-minimum phase (NMP) channels are also v