Regular Section
A Low-Complexity Sparse Channel Estimation Method for OFDM Systems
2010 Volume E93.B Issue 8 Pages 2211-2214
Details
2010 Volume E93.B Issue 8 Pages 2211-2214
In this letter, we propose a low-complexity sparse channel estimation method for orthogonal frequency division multiplexing (OFDM) systems. The proposed method uses a discrete Fourier transform (DFT)-based technique for channel estimation and a novel sorted noise space discrimination technique to estimate the channel length and tap positions. Simulation results demonstrate that the reduction in signal space improves the channel estimation performance.
