面向新型声波激励超低频天线的2FSK通信系统解调算法

张夏瑜; 张佳浩; 焦杰; 刘毅

doi:10.11993/j.issn.2096-3920.2024-0106

面向新型声波激励超低频天线的2FSK通信系统解调算法

doi: 10.11993/j.issn.2096-3920.2024-0106

1.
西安电子科技大学 ISN全国重点实验室, 陕西西安, 710071
2.
中国科学院上海硅酸盐研究所, 上海, 201899

基金项目: 国家重点研发计划(2021YFA0716500)资助.

详细信息

作者简介:
张夏瑜(2001-), 男, 本科, 主要研究方向为通信系统与信号处理技术

中图分类号: TN919.6; TN914.3
计量
- 文章访问数: 29
- HTML全文浏览量: 11
- PDF下载量: 5
- 被引次数: 0
出版历程
- 收稿日期: 2024-06-04
- 修回日期: 2024-06-29
- 录用日期: 2024-07-03
- 网络出版日期: 2024-07-11

2FSK Communication System Demodulation Algorithm for Novel Acoustically Excited SLF Antennas

1.
ISN State Key Laboratory, Xidian University, Xi’an 710071, China
2.
Shanghai Institute of Ceramics, Chinese Academy of Science, Shanghai 201899, China

摘要

摘要: 针对声波激励超低频天线发射功率较小, 低接收信噪比下传统2FSK非相干解调中窄带滤波器设计难等问题, 提出了一种基于Duffing混沌振子的二进制频移键控弱信号解调方法。由于Duffing振子本身对相位敏感, 首先设计了“粗同步+细同步”的相位同步方法, 其中粗同步通过短时傅里叶变换完成, 细同步则通过Duffing混沌振子实现; 然后, 利用混沌振子对同频周期信号敏感、对噪声信号免疫的特性, 将信号并行通过2个Duffing振子, 二者的内置信号频率与2个载频一致。在某一时刻必定有一个系统处于大尺度周期态, 另一个处于混沌态, 二者比较判决来实现信号解调。仿真结果表明, 文中提出的基于Duffing混沌振子的解调算法比非相干解调和相干解调算法, 分别有约5 dB和4 dB的性能提升。
- Duffing振子 /
- 声波激励天线 /
- 2FSK /
- 解调算法
Abstract: There exist some problems for the acoustically excited super low frequency antennas, such as low transmission power and low received signal-to-noise ratio. And it is difficult to design narrow-band filter in traditional 2FSK non-coherent demodulation. Aiming at the above problems, a 2FSK weak signal demodulation method based on Duffing chaotic oscillator is proposed. Because the Duffing oscillator itself is sensitive to the phase, a phase synchronization method of “coarse synchronization + fine synchronization” is designed; The coarse synchronization is accomplished through the short-time Fourier transform, while the fine synchronization is achieved through the Duffing chaotic oscillator. Then, the chaotic oscillator is sensitive to the same-frequency periodic signal and immune to noise signals, and the signal passes through two Duffing oscillators in parallel, and the local signal frequency of the two is consistent with the two carrier frequencies. At a certain moment when one system must be in the large-scale periodic state and the other in the chaotic state, the two systems can be discriminated to realize signal demodulation. The simulation results show that the proposed Duffing oscillator demodulation algorithm outperforms the non-coherent and coherent demodulation algorithm by 5dB and 4dB in bit error rate, respectively.
- Duffing oscillator /
- acoustic excitation antenna /
- 2FSK /
- demodulation algorithm

HTML全文

图 1 声波激励式ME天线原理图

Figure 1. Principle of the acoustic excited ME antenna

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图 2 发射天线原理图

Figure 2. Schematic diagram of the transmit antenna

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图 3 临界状态

Figure 3. Critical state

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图 4 大尺度周期状态

Figure 4. Large-scale periodic states

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图 5 不同状态下振子时域波形

Figure 5. Time-domain waveforms of the oscillator at different states

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图 6 不同状态下振子频谱图

Figure 6. Spectrogram of the oscillator at different states

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图 7 低通滤波后的时域波形

Figure 7. Time-domain waveform after low-pass filtering

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图 8 粗同步示意图

Figure 8. Schematic diagram of coarse synchronization

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图 9 细同步示意图

Figure 9. Schematic diagram of fine synchronization

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图 10 解调算法流程图

Figure 10. Flow chart of the demodulation algorithm

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图 11 功率谱熵法与求和法误比特率比较图

Figure 11. BER comparison figure between power spectrum entropy method and sum method

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图 12 不同解调算法误比特率比较图

Figure 12. Comparison of BER of different demodulation algorithms

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图 13 不同解调算法误比特率比较图

Figure 13. Comparison of BER of different demodulation algorithms

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