On the Optimum Detection of MIMO-SVD Signals With Strong Nonlinear Distortion Effects at the Transmitter
Multiple-Input Multiple-Output (MIMO) architectures are now widely adopted in wireless systems, providing substantial capacity benefits by harnessing spatial diversity and spatial multiplexing. Nonetheless, the large Peak-to-Average Power Ratio (PAPR) associated with common pre-processing techniques...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10812736/ |
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| author | Joao Goncalves M. Teresa Nogueira Daniel Dinis Joao Guerreiro Rui Dinis |
| author_facet | Joao Goncalves M. Teresa Nogueira Daniel Dinis Joao Guerreiro Rui Dinis |
| author_sort | Joao Goncalves |
| collection | DOAJ |
| description | Multiple-Input Multiple-Output (MIMO) architectures are now widely adopted in wireless systems, providing substantial capacity benefits by harnessing spatial diversity and spatial multiplexing. Nonetheless, the large Peak-to-Average Power Ratio (PAPR) associated with common pre-processing techniques, like Singular Value Decomposition (SVD), increases the system’s susceptibility to nonlinear distortion. Conventional receiver designs that mitigate this distortion often neglect the fact that it has useful information on the transmitted data. Maximum Likelihood (ML) detection offers the capability to take advantage of the nonlinear distortion, but its inherent complexity is prohibitively high. This paper introduces a new MIMO receiver design aimed at exploiting the diversity introduced by the transmitter nonlinearities. It also provides an approximate bound on the achievable ML Bit Error Rate (BER) performance. Our results indicate that the proposed receiver can have a performance close to the ML receiver with just a few iterations. |
| format | Article |
| id | doaj-art-47648b4e92b14cbca53bfe0c498ded75 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-47648b4e92b14cbca53bfe0c498ded752025-01-09T00:01:48ZengIEEEIEEE Access2169-35362025-01-01133230324110.1109/ACCESS.2024.352151310812736On the Optimum Detection of MIMO-SVD Signals With Strong Nonlinear Distortion Effects at the TransmitterJoao Goncalves0https://orcid.org/0009-0002-7352-270XM. Teresa Nogueira1https://orcid.org/0009-0005-0008-5221Daniel Dinis2https://orcid.org/0000-0002-8283-0328Joao Guerreiro3https://orcid.org/0000-0001-5106-239XRui Dinis4https://orcid.org/0000-0002-8520-7267Instituto de Telecomunicações (IT), Lisbon, PortugalInstituto Superior Técnico (IST), Lisbon, PortugalInstituto Superior Técnico (IST), Lisbon, PortugalInstituto de Telecomunicações (IT), Lisbon, PortugalInstituto de Telecomunicações (IT), Lisbon, PortugalMultiple-Input Multiple-Output (MIMO) architectures are now widely adopted in wireless systems, providing substantial capacity benefits by harnessing spatial diversity and spatial multiplexing. Nonetheless, the large Peak-to-Average Power Ratio (PAPR) associated with common pre-processing techniques, like Singular Value Decomposition (SVD), increases the system’s susceptibility to nonlinear distortion. Conventional receiver designs that mitigate this distortion often neglect the fact that it has useful information on the transmitted data. Maximum Likelihood (ML) detection offers the capability to take advantage of the nonlinear distortion, but its inherent complexity is prohibitively high. This paper introduces a new MIMO receiver design aimed at exploiting the diversity introduced by the transmitter nonlinearities. It also provides an approximate bound on the achievable ML Bit Error Rate (BER) performance. Our results indicate that the proposed receiver can have a performance close to the ML receiver with just a few iterations.https://ieeexplore.ieee.org/document/10812736/MIMOnonlinear effectsmaximum likelihood detectionreceiver designperformance evaluation |
| spellingShingle | Joao Goncalves M. Teresa Nogueira Daniel Dinis Joao Guerreiro Rui Dinis On the Optimum Detection of MIMO-SVD Signals With Strong Nonlinear Distortion Effects at the Transmitter IEEE Access MIMO nonlinear effects maximum likelihood detection receiver design performance evaluation |
| title | On the Optimum Detection of MIMO-SVD Signals With Strong Nonlinear Distortion Effects at the Transmitter |
| title_full | On the Optimum Detection of MIMO-SVD Signals With Strong Nonlinear Distortion Effects at the Transmitter |
| title_fullStr | On the Optimum Detection of MIMO-SVD Signals With Strong Nonlinear Distortion Effects at the Transmitter |
| title_full_unstemmed | On the Optimum Detection of MIMO-SVD Signals With Strong Nonlinear Distortion Effects at the Transmitter |
| title_short | On the Optimum Detection of MIMO-SVD Signals With Strong Nonlinear Distortion Effects at the Transmitter |
| title_sort | on the optimum detection of mimo svd signals with strong nonlinear distortion effects at the transmitter |
| topic | MIMO nonlinear effects maximum likelihood detection receiver design performance evaluation |
| url | https://ieeexplore.ieee.org/document/10812736/ |
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