Academic Journal
Pilot design for underwater MIMO cosparse channel estimation based on compressed sensing
| العنوان: | Pilot design for underwater MIMO cosparse channel estimation based on compressed sensing |
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| المؤلفون: | Yun Li, Lingxia Liao, Shanlin Sun, Zhicheng Tan, Xing Yao |
| المصدر: | International Journal of Distributed Sensor Networks, Vol 17 (2021) |
| بيانات النشر: | Hindawi - SAGE Publishing, 2021. |
| سنة النشر: | 2021 |
| المجموعة: | LCC:Electronic computers. Computer science |
| مصطلحات موضوعية: | Electronic computers. Computer science, QA75.5-76.95 |
| الوصف: | In multiple-input multiple-output–orthogonal frequency-division multiplexing underwater acoustic communication systems, the correlation of the sampling matrix is the key of the channel estimation algorithm based on compressed sensing. To reduce the cross-correlation of the sampling matrix and improve the channel estimation performance, a pilot design algorithm for co-sparse channel estimation based on compressed sensing is proposed in this article. Based on the time-domain correlation of the channel, the channel estimation is modeled as a common sparse signal reconstruction problem. When replacing each pilot indices position, the algorithm selects multiple pilot indices with the least cross-correlation from the alternative positions to replace the current pilot indices position, and it uses the inner and outer two-layer loops to realize the bit-by-bit optimal replacement of the pilot. The simulation results show that the channel estimation mean squared error of pilot design algorithm for co-sparse channel estimation based on compressed sensing can be reduced by approximately 18 dB compared with the least square algorithm. Compared with the genetic algorithm and search space size methods, the structural sequence search proposed by pilot design algorithm for co-sparse channel estimation based on compressed sensing is used to design the pilot to complete the channel estimation. Thus, the mean squared error of the channel estimation can be reduced by 2 dB. At the same bit error rate of 0.03, the signal-to-noise ratio can be decreased by approximately 7 dB. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1550-1477 15501477 |
| Relation: | https://doaj.org/toc/1550-1477 |
| DOI: | 10.1177/15501477211017825 |
| URL الوصول: | https://doaj.org/article/72c2ab048b914650a5bd39df8404f82b |
| رقم الانضمام: | edsdoj.72c2ab048b914650a5bd39df8404f82b |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 15501477 |
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| DOI: | 10.1177/15501477211017825 |