Error probability analysis of a novel adaptive beamforming receiver for large-scale multiple-input-multiple-output communication system
A novel adaptive beamforming receiver is proposed for a multiple-input multiple-output (MIMO) communication system over multipath fading channels. By dividing a large number of receive antennas into many adaptive beamformers (ABFs), the proposed system reduces the array dimension in order to si...
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| Main Authors: | , |
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| 其他作者: | |
| 格式: | Article |
| 語言: | English |
| 出版: |
2015
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| 主題: | |
| 在線閱讀: | https://hdl.handle.net/10356/107405 http://hdl.handle.net/10220/25465 http://dx.doi.org/10.1049/iet-com.2014.0805 |
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| 總結: | A novel adaptive beamforming receiver is proposed
for a multiple-input multiple-output (MIMO) communication
system over multipath fading channels. By dividing a large
number of receive antennas into many adaptive beamformers
(ABFs), the proposed system reduces the array dimension in
order to simplify the signal detection process and enjoys the
benefit of beamforming techniques to improve the symbol-error
rate (SER) performance. The effectiveness of the proposed system
depends on the number of ABFs and the number of antennas per
ABF. The statistical properties of complex Wishart matrices are
applied to analyze the SER performance of the proposed system
with both maximum-likelihood (ML) detection and zero-forcing
(ZF) detection. Furthermore, we have derived an upper bound
for SER of the ML detection based on the smallest eigenvalue
distribution. Through our analysis, it has been shown that the
proposed system using ML detection provides comparable SER
performance, but with a lower complexity as compared to that
of a conventional ML receiver due to reduced array dimensions. |
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