Optimized memory polynomial with binomial reduction in digital pre-distortion for wireless communication systems
The non-linearity of the Power Amplifier (PA) causes signal amplitude and phase distortion which contributes to Adjacent Channel Interference (ACI). Moreover, today’s inevitable increasing bandwidth and transmission speed causes Memory Effects, an undesired scattering of the PA output signal. Amon...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Asian Research Publishing Network (ARPN)
2019
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| Online Access: | http://psasir.upm.edu.my/id/eprint/81583/1/Optimized%20memory%20polynomial%20with%20binomial%20reduction%20in%20digital%20pre-distortion%20for%20wireless%20communication%20systems.pdf |
| _version_ | 1796980939117559808 |
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| author | Choo, Hong Ning Abdul Latiff, Nurul Adilah Varahram, Pooria Mohd Ali, Borhanuddin |
| author_facet | Choo, Hong Ning Abdul Latiff, Nurul Adilah Varahram, Pooria Mohd Ali, Borhanuddin |
| author_sort | Choo, Hong Ning |
| collection | UPM |
| description | The non-linearity of the Power Amplifier (PA) causes signal amplitude and phase distortion which contributes to
Adjacent Channel Interference (ACI). Moreover, today’s inevitable increasing bandwidth and transmission speed causes
Memory Effects, an undesired scattering of the PA output signal. Among various PA linearization methods, Digital Predistortion (DPD) stands out due to its balanced advantages and trade-offs in implementation simplicity, bandwidth,
efficiency, flexibility and cost. An accurate modeling of the PA is required by the DPD, where the highly popular Memory
Polynomial Method (MP) is used to model the PA with Memory Effects but with reduced complexity. This project presents
the Memory Polynomial with Binomial Reduction method (MPB) which is a performance optimized MP with reduced
addition and multiplication operations. When compared to MP, MPB is capable of achieving improvements in Normalized
Mean Square Error (NMSE) of up to 35dB. The MPB and MP methods are simulated/compared using a modeled ZVE-8G
Power Amplifier and sampled 4G (LTE) signals. |
| first_indexed | 2024-03-06T10:30:25Z |
| format | Article |
| id | upm.eprints-81583 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T10:30:25Z |
| publishDate | 2019 |
| publisher | Asian Research Publishing Network (ARPN) |
| record_format | dspace |
| spelling | upm.eprints-815832020-11-02T19:58:37Z http://psasir.upm.edu.my/id/eprint/81583/ Optimized memory polynomial with binomial reduction in digital pre-distortion for wireless communication systems Choo, Hong Ning Abdul Latiff, Nurul Adilah Varahram, Pooria Mohd Ali, Borhanuddin The non-linearity of the Power Amplifier (PA) causes signal amplitude and phase distortion which contributes to Adjacent Channel Interference (ACI). Moreover, today’s inevitable increasing bandwidth and transmission speed causes Memory Effects, an undesired scattering of the PA output signal. Among various PA linearization methods, Digital Predistortion (DPD) stands out due to its balanced advantages and trade-offs in implementation simplicity, bandwidth, efficiency, flexibility and cost. An accurate modeling of the PA is required by the DPD, where the highly popular Memory Polynomial Method (MP) is used to model the PA with Memory Effects but with reduced complexity. This project presents the Memory Polynomial with Binomial Reduction method (MPB) which is a performance optimized MP with reduced addition and multiplication operations. When compared to MP, MPB is capable of achieving improvements in Normalized Mean Square Error (NMSE) of up to 35dB. The MPB and MP methods are simulated/compared using a modeled ZVE-8G Power Amplifier and sampled 4G (LTE) signals. Asian Research Publishing Network (ARPN) 2019 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/81583/1/Optimized%20memory%20polynomial%20with%20binomial%20reduction%20in%20digital%20pre-distortion%20for%20wireless%20communication%20systems.pdf Choo, Hong Ning and Abdul Latiff, Nurul Adilah and Varahram, Pooria and Mohd Ali, Borhanuddin (2019) Optimized memory polynomial with binomial reduction in digital pre-distortion for wireless communication systems. ARPN Journal of Engineering and Applied Sciences, 14 (16). pp. 2929-2936. ISSN 1819-6608 |
| spellingShingle | Choo, Hong Ning Abdul Latiff, Nurul Adilah Varahram, Pooria Mohd Ali, Borhanuddin Optimized memory polynomial with binomial reduction in digital pre-distortion for wireless communication systems |
| title | Optimized memory polynomial with binomial reduction in digital pre-distortion for wireless communication systems |
| title_full | Optimized memory polynomial with binomial reduction in digital pre-distortion for wireless communication systems |
| title_fullStr | Optimized memory polynomial with binomial reduction in digital pre-distortion for wireless communication systems |
| title_full_unstemmed | Optimized memory polynomial with binomial reduction in digital pre-distortion for wireless communication systems |
| title_short | Optimized memory polynomial with binomial reduction in digital pre-distortion for wireless communication systems |
| title_sort | optimized memory polynomial with binomial reduction in digital pre distortion for wireless communication systems |
| url | http://psasir.upm.edu.my/id/eprint/81583/1/Optimized%20memory%20polynomial%20with%20binomial%20reduction%20in%20digital%20pre-distortion%20for%20wireless%20communication%20systems.pdf |
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