A Computationally Efficient Least Square Channel Estimation Method for MIMO-OFDM Systems
2021
The 5th generation of cellular system is expected
to incur a huge traffic rise which would necessitate the
adoption of an estimation method that is efficient but at the
same time practical through easy implementation. Some of the
most popular methods used in cellular communication for
channel estimation are the Least Squares (LS) algorithm and
the Minimum Mean Square Error (MMSE) algorithm. Both of
them has their own merits and limitations. While LS
estimation is simple to adopt and resource-friendly, its
performance is par to MMSE, which requires channel statistics
and is thus more impractical for the industry. In this paper, an
efficient LS estimation method is proposed by minimising
relative error or difference between each estimated channel
coefficient from its actual value, which is often overlooked
when considering overall error. It’s in turn, reduces the error
per bit and eventually induces faster processing of data.
Results on the proposed algorithm are demonstrated via bit
error rate and mean square error comparison.
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