OQPSK Synchronization Parameter Estimation Based on Burst Signal Detection
The fast estimation of synchronization parameters plays an extremely important role in the demodulation of burst signals. In order to solve the problem of high computational complexity in the implementation of traditional algorithms, a synchronization parameter (frequency offset, phase offset, and t...
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| Format: | Article |
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MDPI AG
2021-01-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/10/1/69 |
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| author | Zilong Liu Kexian Gong Peng Sun Jicai Deng Kunheng Zou Linlin Duan |
| author_facet | Zilong Liu Kexian Gong Peng Sun Jicai Deng Kunheng Zou Linlin Duan |
| author_sort | Zilong Liu |
| collection | DOAJ |
| description | The fast estimation of synchronization parameters plays an extremely important role in the demodulation of burst signals. In order to solve the problem of high computational complexity in the implementation of traditional algorithms, a synchronization parameter (frequency offset, phase offset, and timing error) estimation algorithm based on Offset Quadrature Phase Shift Keying (OQPSK) burst signal detection is proposed in this article. We first use the Data-Aided (DA) method to detect where the burst signal begins by taking the segment correlation between the receiving signals and the known local Unique Word (UW). In the sequel, the above results are adopted directly to estimate the synchronization parameters, which is obviously different from the conventional algorithms. In this way, the complexity of the proposed algorithm is greatly reduced, and it is more convenient for hardware implementation. The simulation results show that the proposed algorithm has high accuracy and can track the Modified Cramer–Rao Bound (MCRB) closely. |
| first_indexed | 2024-03-10T13:33:10Z |
| format | Article |
| id | doaj.art-a47008350e1d4098a2969764ead8fba6 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-10T13:33:10Z |
| publishDate | 2021-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-a47008350e1d4098a2969764ead8fba62023-11-21T07:46:14ZengMDPI AGElectronics2079-92922021-01-011016910.3390/electronics10010069OQPSK Synchronization Parameter Estimation Based on Burst Signal DetectionZilong Liu0Kexian Gong1Peng Sun2Jicai Deng3Kunheng Zou4Linlin Duan5School of Information Engineering, Zhengzhou University, Zhengzhou 450001, ChinaSchool of Information Engineering, Zhengzhou University, Zhengzhou 450001, ChinaSchool of Information Engineering, Zhengzhou University, Zhengzhou 450001, ChinaSchool of Information Engineering, Zhengzhou University, Zhengzhou 450001, ChinaSchool of Information Engineering, Zhengzhou University, Zhengzhou 450001, ChinaSchool of Information Engineering, Zhengzhou University, Zhengzhou 450001, ChinaThe fast estimation of synchronization parameters plays an extremely important role in the demodulation of burst signals. In order to solve the problem of high computational complexity in the implementation of traditional algorithms, a synchronization parameter (frequency offset, phase offset, and timing error) estimation algorithm based on Offset Quadrature Phase Shift Keying (OQPSK) burst signal detection is proposed in this article. We first use the Data-Aided (DA) method to detect where the burst signal begins by taking the segment correlation between the receiving signals and the known local Unique Word (UW). In the sequel, the above results are adopted directly to estimate the synchronization parameters, which is obviously different from the conventional algorithms. In this way, the complexity of the proposed algorithm is greatly reduced, and it is more convenient for hardware implementation. The simulation results show that the proposed algorithm has high accuracy and can track the Modified Cramer–Rao Bound (MCRB) closely.https://www.mdpi.com/2079-9292/10/1/69synchronization parameter estimationburst signal detectiondata-aidedOQPSK |
| spellingShingle | Zilong Liu Kexian Gong Peng Sun Jicai Deng Kunheng Zou Linlin Duan OQPSK Synchronization Parameter Estimation Based on Burst Signal Detection Electronics synchronization parameter estimation burst signal detection data-aided OQPSK |
| title | OQPSK Synchronization Parameter Estimation Based on Burst Signal Detection |
| title_full | OQPSK Synchronization Parameter Estimation Based on Burst Signal Detection |
| title_fullStr | OQPSK Synchronization Parameter Estimation Based on Burst Signal Detection |
| title_full_unstemmed | OQPSK Synchronization Parameter Estimation Based on Burst Signal Detection |
| title_short | OQPSK Synchronization Parameter Estimation Based on Burst Signal Detection |
| title_sort | oqpsk synchronization parameter estimation based on burst signal detection |
| topic | synchronization parameter estimation burst signal detection data-aided OQPSK |
| url | https://www.mdpi.com/2079-9292/10/1/69 |
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