Computationally Efficient Blind Source Separation-Based MIMO-PA Linearization
This paper presents a Cross-Interference Reduction Digital predistortion (CIR-DPD) for a multiple-input and multiple-output (MIMO) system. The proposed method cancels the detrimental effect of crosstalk due to different MIMO branches and the antenna reflection from the same antenna. This technique i...
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10375380/ |
| _version_ | 1827387019051925504 |
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| author | Shipra Meenakshi Rawat |
| author_facet | Shipra Meenakshi Rawat |
| author_sort | Shipra |
| collection | DOAJ |
| description | This paper presents a Cross-Interference Reduction Digital predistortion (CIR-DPD) for a multiple-input and multiple-output (MIMO) system. The proposed method cancels the detrimental effect of crosstalk due to different MIMO branches and the antenna reflection from the same antenna. This technique incorporates an Independent Component Analysis (ICA) algorithm-based source separation technique to find the mixing matrix developed due to crosstalk and antenna reflection. Further, this mixing matrix is used to predict the pre-cancellation of antenna reflection and crosstalk matrix. The proposed CIR-ICA model furnishes a two-step single-iteration digital mitigation solution to multiple branches of MIMO transmitters. Compared to current DPD techniques, the proposed CIR-DPD model enables suitable detection for transmitter defects while lowering its complexity. The experimental proof-of-concept for the <inline-formula> <tex-math notation="LaTeX">$4\times 4$ </tex-math></inline-formula> MIMO transmitter is presented in the presence of crosstalk, PA nonlinearity, and antenna reflection. |
| first_indexed | 2024-03-08T15:54:53Z |
| format | Article |
| id | doaj.art-aa621d823c1b48d58116a9ba461bb49f |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-03-08T15:54:53Z |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-aa621d823c1b48d58116a9ba461bb49f2024-01-09T00:04:03ZengIEEEIEEE Access2169-35362024-01-01123126313910.1109/ACCESS.2023.334791910375380Computationally Efficient Blind Source Separation-Based MIMO-PA Linearization Shipra0https://orcid.org/0000-0002-7212-3857Meenakshi Rawat1https://orcid.org/0000-0002-8427-1662Department of Electronics and Communication, Indian Institute of Technology Roorkee, Roorkee, IndiaDepartment of Electronics and Communication, Indian Institute of Technology Roorkee, Roorkee, IndiaThis paper presents a Cross-Interference Reduction Digital predistortion (CIR-DPD) for a multiple-input and multiple-output (MIMO) system. The proposed method cancels the detrimental effect of crosstalk due to different MIMO branches and the antenna reflection from the same antenna. This technique incorporates an Independent Component Analysis (ICA) algorithm-based source separation technique to find the mixing matrix developed due to crosstalk and antenna reflection. Further, this mixing matrix is used to predict the pre-cancellation of antenna reflection and crosstalk matrix. The proposed CIR-ICA model furnishes a two-step single-iteration digital mitigation solution to multiple branches of MIMO transmitters. Compared to current DPD techniques, the proposed CIR-DPD model enables suitable detection for transmitter defects while lowering its complexity. The experimental proof-of-concept for the <inline-formula> <tex-math notation="LaTeX">$4\times 4$ </tex-math></inline-formula> MIMO transmitter is presented in the presence of crosstalk, PA nonlinearity, and antenna reflection.https://ieeexplore.ieee.org/document/10375380/Crossover memory polynomialdigital predistortion (DPD)independent component analysismultiple input multiple outputsnormalized mean square error |
| spellingShingle | Shipra Meenakshi Rawat Computationally Efficient Blind Source Separation-Based MIMO-PA Linearization IEEE Access Crossover memory polynomial digital predistortion (DPD) independent component analysis multiple input multiple outputs normalized mean square error |
| title | Computationally Efficient Blind Source Separation-Based MIMO-PA Linearization |
| title_full | Computationally Efficient Blind Source Separation-Based MIMO-PA Linearization |
| title_fullStr | Computationally Efficient Blind Source Separation-Based MIMO-PA Linearization |
| title_full_unstemmed | Computationally Efficient Blind Source Separation-Based MIMO-PA Linearization |
| title_short | Computationally Efficient Blind Source Separation-Based MIMO-PA Linearization |
| title_sort | computationally efficient blind source separation based mimo pa linearization |
| topic | Crossover memory polynomial digital predistortion (DPD) independent component analysis multiple input multiple outputs normalized mean square error |
| url | https://ieeexplore.ieee.org/document/10375380/ |
| work_keys_str_mv | AT shipra computationallyefficientblindsourceseparationbasedmimopalinearization AT meenakshirawat computationallyefficientblindsourceseparationbasedmimopalinearization |