Blind Turbo Equalization of Short CPM Bursts for UAV-Aided Internet of Things
With the surge of Internet of Things (IoT) applications using unmanned aerial vehicles (UAVs), there is a huge demand for an excellent complexity/power efficiency trade-off and channel fading resistance at the physical layer. In this paper, we consider the blind equalization of short-continuous-phas...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-08-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/22/17/6508 |
| _version_ | 1827664957093707776 |
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| author | Zihao Pan Chen Xie Heng Wang Yimin Wei Daoxing Guo |
| author_facet | Zihao Pan Chen Xie Heng Wang Yimin Wei Daoxing Guo |
| author_sort | Zihao Pan |
| collection | DOAJ |
| description | With the surge of Internet of Things (IoT) applications using unmanned aerial vehicles (UAVs), there is a huge demand for an excellent complexity/power efficiency trade-off and channel fading resistance at the physical layer. In this paper, we consider the blind equalization of short-continuous-phase-modulated (CPM) burst for UAV-aided IoT. To solve the problems of the high complexity and poor convergence of short-burst CPM blind equalization, a novel turbo blind equalization algorithm is proposed based on establishing a new expectation–maximization Viterbi (EMV) algorithm and turbo scheme. Firstly, a low complexity blind equalization algorithm is obtained by applying the soft-output Lazy Viterbi algorithm within the EM algorithm iteration. Furthermore, a set of initializers that achieves a high global convergence probability is designed by the blind channel-acquisition (BCA) method. Meanwhile, a soft information iterative process is used to improve the system performance. Finally, the convergence, bit error rate, and real-time performance of iterative detection can be further improved effectively by using improved exchange methods of extrinsic information and the stopping criterion. The analysis and simulation results show that the proposed algorithm achieves a good blind equalization performance and low complexity. |
| first_indexed | 2024-03-10T01:14:52Z |
| format | Article |
| id | doaj.art-1e09b3c92fdf41b2b00ce8b462f1813d |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T01:14:52Z |
| publishDate | 2022-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-1e09b3c92fdf41b2b00ce8b462f1813d2023-11-23T14:09:37ZengMDPI AGSensors1424-82202022-08-012217650810.3390/s22176508Blind Turbo Equalization of Short CPM Bursts for UAV-Aided Internet of ThingsZihao Pan0Chen Xie1Heng Wang2Yimin Wei3Daoxing Guo4College of Communication Engineering, Army Engineering University of PLA, Nanjing 210001, ChinaCollege of Communication Engineering, Army Engineering University of PLA, Nanjing 210001, ChinaCollege of Communication Engineering, Army Engineering University of PLA, Nanjing 210001, ChinaCollege of Communication Engineering, Army Engineering University of PLA, Nanjing 210001, ChinaCollege of Communication Engineering, Army Engineering University of PLA, Nanjing 210001, ChinaWith the surge of Internet of Things (IoT) applications using unmanned aerial vehicles (UAVs), there is a huge demand for an excellent complexity/power efficiency trade-off and channel fading resistance at the physical layer. In this paper, we consider the blind equalization of short-continuous-phase-modulated (CPM) burst for UAV-aided IoT. To solve the problems of the high complexity and poor convergence of short-burst CPM blind equalization, a novel turbo blind equalization algorithm is proposed based on establishing a new expectation–maximization Viterbi (EMV) algorithm and turbo scheme. Firstly, a low complexity blind equalization algorithm is obtained by applying the soft-output Lazy Viterbi algorithm within the EM algorithm iteration. Furthermore, a set of initializers that achieves a high global convergence probability is designed by the blind channel-acquisition (BCA) method. Meanwhile, a soft information iterative process is used to improve the system performance. Finally, the convergence, bit error rate, and real-time performance of iterative detection can be further improved effectively by using improved exchange methods of extrinsic information and the stopping criterion. The analysis and simulation results show that the proposed algorithm achieves a good blind equalization performance and low complexity.https://www.mdpi.com/1424-8220/22/17/6508blind equalizationcontinuous-phase modulationEM algorithmLazy Viterbi algorithm |
| spellingShingle | Zihao Pan Chen Xie Heng Wang Yimin Wei Daoxing Guo Blind Turbo Equalization of Short CPM Bursts for UAV-Aided Internet of Things Sensors blind equalization continuous-phase modulation EM algorithm Lazy Viterbi algorithm |
| title | Blind Turbo Equalization of Short CPM Bursts for UAV-Aided Internet of Things |
| title_full | Blind Turbo Equalization of Short CPM Bursts for UAV-Aided Internet of Things |
| title_fullStr | Blind Turbo Equalization of Short CPM Bursts for UAV-Aided Internet of Things |
| title_full_unstemmed | Blind Turbo Equalization of Short CPM Bursts for UAV-Aided Internet of Things |
| title_short | Blind Turbo Equalization of Short CPM Bursts for UAV-Aided Internet of Things |
| title_sort | blind turbo equalization of short cpm bursts for uav aided internet of things |
| topic | blind equalization continuous-phase modulation EM algorithm Lazy Viterbi algorithm |
| url | https://www.mdpi.com/1424-8220/22/17/6508 |
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