MIMO-OFDM equaliser for spatial multiplexing transmission modes
In search for faster and more reliable communication, multiple-input multiple-output (MIMO) in conjuction with Orthogonal Frequency Division Multiplexing (OFDM) are subject of extensive research. In spatial multiplexing transmission an instantaneous rise of data rates governed by the number of trans...
| Main Authors: | , |
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| Format: | Article |
| Language: | deu |
| Published: |
Copernicus Publications
2010-10-01
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| Series: | Advances in Radio Science |
| Online Access: | http://www.adv-radio-sci.net/8/81/2010/ars-8-81-2010.pdf |
| _version_ | 1811248283879735296 |
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| author | P. Beinschob U. Zölzer |
| author_facet | P. Beinschob U. Zölzer |
| author_sort | P. Beinschob |
| collection | DOAJ |
| description | In search for faster and more reliable communication, multiple-input multiple-output (MIMO) in
conjuction with Orthogonal Frequency Division Multiplexing (OFDM) are subject of extensive research.
In spatial multiplexing transmission an instantaneous rise of data rates governed by the number of
transmit antennas can be realised. The system performance
depends highly on signal-to-interference-plus-noise ratios (SINR) at the receiver. The receiver's
equaliser is supposed to maximize the SINR by mitigating the spatial interference and thus
separating the transmitted signals. For this problem several solutions exist such as linear and
nonlinear, per subcarrier
or OFDM symbol-based. An overview of common algorithms is given and complexity is discussed. Bit
error rate (BER) performance evaluations are presented.
Another aspect is the impact of the equalisation strategy on the performance of bit-interleaved soft
information-based channel coding schemes. As a representative, LDPC codes are chosen. Simulation
results show a significant BER performance loss for symbol decision-based equalisers compared to the
uncoded performance. To overcome this problem a modification of the Maximum Likelihood algorithm is
proposed which yields good performance for low SNR applications. |
| first_indexed | 2024-04-12T15:25:22Z |
| format | Article |
| id | doaj.art-e3ee209e2a0749f7959ce6c91ecfc4be |
| institution | Directory Open Access Journal |
| issn | 1684-9965 1684-9973 |
| language | deu |
| last_indexed | 2024-04-12T15:25:22Z |
| publishDate | 2010-10-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Advances in Radio Science |
| spelling | doaj.art-e3ee209e2a0749f7959ce6c91ecfc4be2022-12-22T03:27:18ZdeuCopernicus PublicationsAdvances in Radio Science1684-99651684-99732010-10-018818510.5194/ars-8-81-2010MIMO-OFDM equaliser for spatial multiplexing transmission modesP. Beinschob0U. Zölzer1Department of Signal Processing and Communications, Helmut-Schmidt-Universität/University of the Federal Armed Forces Hamburg, Holstenhofweg 85, 22043 Hamburg, GermanyDepartment of Signal Processing and Communications, Helmut-Schmidt-Universität/University of the Federal Armed Forces Hamburg, Holstenhofweg 85, 22043 Hamburg, GermanyIn search for faster and more reliable communication, multiple-input multiple-output (MIMO) in conjuction with Orthogonal Frequency Division Multiplexing (OFDM) are subject of extensive research. In spatial multiplexing transmission an instantaneous rise of data rates governed by the number of transmit antennas can be realised. The system performance depends highly on signal-to-interference-plus-noise ratios (SINR) at the receiver. The receiver's equaliser is supposed to maximize the SINR by mitigating the spatial interference and thus separating the transmitted signals. For this problem several solutions exist such as linear and nonlinear, per subcarrier or OFDM symbol-based. An overview of common algorithms is given and complexity is discussed. Bit error rate (BER) performance evaluations are presented. Another aspect is the impact of the equalisation strategy on the performance of bit-interleaved soft information-based channel coding schemes. As a representative, LDPC codes are chosen. Simulation results show a significant BER performance loss for symbol decision-based equalisers compared to the uncoded performance. To overcome this problem a modification of the Maximum Likelihood algorithm is proposed which yields good performance for low SNR applications.http://www.adv-radio-sci.net/8/81/2010/ars-8-81-2010.pdf |
| spellingShingle | P. Beinschob U. Zölzer MIMO-OFDM equaliser for spatial multiplexing transmission modes Advances in Radio Science |
| title | MIMO-OFDM equaliser for spatial multiplexing transmission modes |
| title_full | MIMO-OFDM equaliser for spatial multiplexing transmission modes |
| title_fullStr | MIMO-OFDM equaliser for spatial multiplexing transmission modes |
| title_full_unstemmed | MIMO-OFDM equaliser for spatial multiplexing transmission modes |
| title_short | MIMO-OFDM equaliser for spatial multiplexing transmission modes |
| title_sort | mimo ofdm equaliser for spatial multiplexing transmission modes |
| url | http://www.adv-radio-sci.net/8/81/2010/ars-8-81-2010.pdf |
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