Abstract:
Blind channel estimation is attractive for the application of in high-speed wireless
communication systems due to its high spectral efficiency. Most of the conventional
blind channel identification algorithms are based on the statistical properties of the
transmitted signals. However, in practical communication systems, the statistical
model of the transmitted signals may not be known or there may not be sufficient
data to estimate the statistical properties. Alternatively, we can use Cross Relation
(CR) principle for computationally-efficient blind channel estimation. CR principlebased frequency domain blind channel estimation schemes offer good performance
when the data length is inevitably short. In this thesis, a frequency-domain CR-based
blind channel estimation schemes are developed for both single-carrier and
multicarrier multiple-input multiple-output (MIMO) systems. The proposed channel
estimation scheme is able to identify the channel using a single received signal block.
This channel estimation scheme is accompanied by a simple block pre-coding
scheme. The channel is assumed time invariant within the signal block period which
depends on the antenna configuration ofthe system. The numerical simulation shows
that the proposed methods perform satisfactorily with only one or very few received
signal blocks, with compared to existing correlation based methods which require
more data blocks.
