随机共振应用于窄带PSK信号处理的研究

发布时间：2018-02-03 05:11

本文关键词： 随机共振窄带相移键控信号信噪比门限采样率　出处：《信号处理》2017年05期 　论文类型：期刊论文

【摘要】：非线性随机共振系统能够有效利用噪声能量增强微弱周期信号,可用于强噪声背景下的微弱通信信号检测。本文提出基于人工鱼群算法的自适应随机共振方法处理相移键控(PSK)信号,分别从算法应用于参数估计、应用于降低检测信噪比门限、应用于提高带内信噪比三个角度分析算法对PSK信号检测性能带来的提升,阐述了采样率在窄带PSK信号参数估计的随机共振中的作用。理论分析和仿真结果表明,对比传统谱线法其能够明显提升PSK信号参数估计性能,将参数估计信噪比门限降低3~6 d B,并具有良好的收敛性能。此外,验证随机共振直接处理窄带周期信号没有实际提升效果。
[Abstract]:Nonlinear stochastic resonance systems can effectively use noise energy to enhance weak periodic signals. This paper presents an adaptive stochastic resonance method based on artificial fish swarm algorithm for phase shift keying (PSK) signal processing, which is applied to parameter estimation respectively. It is applied to reduce the detection SNR threshold and improve the in-band signal-to-noise ratio (SNR) from three angles to improve the detection performance of PSK signal. The effect of sampling rate on the stochastic resonance of narrow-band PSK signal parameter estimation is described. The theoretical analysis and simulation results show that compared with the traditional spectral line method, the proposed method can significantly improve the performance of PSK signal parameter estimation. The SNR threshold of parameter estimation is reduced by 3 dB and has good convergence performance. In addition, it is verified that direct processing of narrowband periodic signals by stochastic resonance has no practical lifting effect.
【作者单位】：解放军信息工程大学信息系统工程学院;
【基金】：国家自然科学基金资助项目(61401511)
【分类号】：TN911.7
【正文快照】： 1引言噪声背景下的微弱信号检测技术在通信、机械、医学、物理测量等领域得到了广泛研究和发展。与传统信号检测方法相比,随机共振能够有效利用噪声能量增强周期信号,同时噪声能量得到抑制,这将为低信噪比信号检测技术带来很大的帮助。然而随机共振的发生并不是无条件的[1-3],

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