Transceiver Design for Efficient Channel Estimation in MIMO OFDM Systems
channel estimation; training design; FPGA implementation
In this thesis, we first compare the least squares (LS) channel estimation performance in terms of mean squared error (MSE) with the perfect knowledge of channel length $L$ versus the estimation without the knowledge of $L$. This comparison motivates us to estimate the channel in two steps by exploiting the instantaneous delay spread. We show that the channel estimation performance can be improved by $5$ dB even in the presence of channel mismatch. Then we propose the optimal training sequence which achieves not only the minimum MSE of LS channel estimation, but also the minimum peak-to-average power ratio (PAPR) at transmitter with a low computational complexity. Finally we describe all the necessary synchronization functions and FPGA implementation in the SISO OFDM receiver. And this receiver serves as the foundation to build up a wireless testbed to verify the new algorithms.
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- ECE Publications