Blind estimation of modulation parameters for PCMA signals using frame cyclic features
Abstract Blind receiver technologies for paired carrier multiple access (PCMA) signals have always been a challenging task with many technical difficulties, among which the estimation of modulation parameters is a fundamental but important element. Despite some achievements in previous studies, more...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2023-09-01
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| Series: | EURASIP Journal on Advances in Signal Processing |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13634-023-01055-6 |
| _version_ | 1797555747804938240 |
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| author | Fang Li Zhaoyang Qiu Xiong Zha Tianyun Li |
| author_facet | Fang Li Zhaoyang Qiu Xiong Zha Tianyun Li |
| author_sort | Fang Li |
| collection | DOAJ |
| description | Abstract Blind receiver technologies for paired carrier multiple access (PCMA) signals have always been a challenging task with many technical difficulties, among which the estimation of modulation parameters is a fundamental but important element. Despite some achievements in previous studies, more systematic and sophisticated estimation methods have not been adequately investigated. In this paper, schemes for the blind estimation of the symbol timing phase, amplitude attenuation, frequency offset, and carrier phase for PCMA signals in satellite communications are proposed. The data flow transmitted in satellite communication often has a certain frame structure, the most important of which is the synchronization data, namely the so-called cycle features. The proposed schemes assume that the modulated signals have fixed frame length and frame sync code and that the symbol rate has been estimated when the signals are encoded asynchronously. Distinct from the previous methods, our schemes exploit the sync waveform and the overlapping waveform, which are estimated via singular value decomposition (SVD) (using the frame cyclic features) and interference cancelation, together with their demodulation results as aid data, for the estimation of the desired parameters. The simulation results demonstrate that the schemes are effective in the parameters estimation of PCMA signals and outperform the comparison algorithms. |
| first_indexed | 2024-03-10T16:51:59Z |
| format | Article |
| id | doaj.art-82c7f76b838b45b287fc5be9532ad4cd |
| institution | Directory Open Access Journal |
| issn | 1687-6180 |
| language | English |
| last_indexed | 2024-03-10T16:51:59Z |
| publishDate | 2023-09-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EURASIP Journal on Advances in Signal Processing |
| spelling | doaj.art-82c7f76b838b45b287fc5be9532ad4cd2023-11-20T11:16:50ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61802023-09-012023111810.1186/s13634-023-01055-6Blind estimation of modulation parameters for PCMA signals using frame cyclic featuresFang Li0Zhaoyang Qiu1Xiong Zha2Tianyun Li3Institute of Information System Engineering, Information Engineering UniversityInstitute of Information System Engineering, Information Engineering UniversityInstitute of Information System Engineering, Information Engineering UniversityInstitute of Information System Engineering, Information Engineering UniversityAbstract Blind receiver technologies for paired carrier multiple access (PCMA) signals have always been a challenging task with many technical difficulties, among which the estimation of modulation parameters is a fundamental but important element. Despite some achievements in previous studies, more systematic and sophisticated estimation methods have not been adequately investigated. In this paper, schemes for the blind estimation of the symbol timing phase, amplitude attenuation, frequency offset, and carrier phase for PCMA signals in satellite communications are proposed. The data flow transmitted in satellite communication often has a certain frame structure, the most important of which is the synchronization data, namely the so-called cycle features. The proposed schemes assume that the modulated signals have fixed frame length and frame sync code and that the symbol rate has been estimated when the signals are encoded asynchronously. Distinct from the previous methods, our schemes exploit the sync waveform and the overlapping waveform, which are estimated via singular value decomposition (SVD) (using the frame cyclic features) and interference cancelation, together with their demodulation results as aid data, for the estimation of the desired parameters. The simulation results demonstrate that the schemes are effective in the parameters estimation of PCMA signals and outperform the comparison algorithms.https://doi.org/10.1186/s13634-023-01055-6PCMABlind receiverSVDFrame cyclic featuresParameters estimation |
| spellingShingle | Fang Li Zhaoyang Qiu Xiong Zha Tianyun Li Blind estimation of modulation parameters for PCMA signals using frame cyclic features EURASIP Journal on Advances in Signal Processing PCMA Blind receiver SVD Frame cyclic features Parameters estimation |
| title | Blind estimation of modulation parameters for PCMA signals using frame cyclic features |
| title_full | Blind estimation of modulation parameters for PCMA signals using frame cyclic features |
| title_fullStr | Blind estimation of modulation parameters for PCMA signals using frame cyclic features |
| title_full_unstemmed | Blind estimation of modulation parameters for PCMA signals using frame cyclic features |
| title_short | Blind estimation of modulation parameters for PCMA signals using frame cyclic features |
| title_sort | blind estimation of modulation parameters for pcma signals using frame cyclic features |
| topic | PCMA Blind receiver SVD Frame cyclic features Parameters estimation |
| url | https://doi.org/10.1186/s13634-023-01055-6 |
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