Design and simulation of soft decision decoding based on chaotic M-ary spread spectrum system
In this paper, chaos sequence is used to replace the traditional spread spectrum sequence. From the perspective of the communication partner, a new method of generating the initial value of chaotic sequence is proposed, which is more suitable for the multi-base spread spectrum system and easy to ext...
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Veröffentlicht in: | Discover Applied Sciences 2024-04, Vol.6 (4), p.185, Article 185 |
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Sprache: | eng |
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Zusammenfassung: | In this paper, chaos sequence is used to replace the traditional spread spectrum sequence. From the perspective of the communication partner, a new method of generating the initial value of chaotic sequence is proposed, which is more suitable for the multi-base spread spectrum system and easy to extract. In order to further improve the error performance of the system and ensure the integrity of the system, an improved suboptimal soft information extraction method based on log-likelihood ratio (LLR) is proposed in the channel coding module, which can further improve the error performance of the system. On this basis, we choose the synchronization mode of multiple transmission of one reference signal to solve the problem that chaotic sequence is difficult to obtain synchronization because of its aperiodic characteristics. Finally, the system is simulated in the channel with low SNR. The simulation results show that chaotic sequence as spread spectrum code can make the signal transmit accurately in the worse channel environment. The performance gain of applying soft information decoding decision in the multibase spread spectrum system with chaotic sequence as spread spectrum code can reach 5.2 dB compared with the traditional direct spread spectrum system.
Article Highlights
An iterative generation algorithm for chaotic sequences is proposed to simplify the system scale.
The chaotic sequence is combined with the M-ary spread spectrum system to improve the anti-interception capability.
Combine soft information decoding with M-ary spread spectrum to improve the anti-interference ability of the system. |
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ISSN: | 3004-9261 2523-3963 3004-9261 2523-3971 |
DOI: | 10.1007/s42452-024-05849-7 |