基于欠采样随机共振的单频微弱信号检测新方法

发布时间：2018-07-05 11:27

本文选题：深空通信 + 微弱信号检测　；参考：《电讯技术》2014年05期

【摘要】：由于随机共振具有在特定条件下增强微弱信号信噪比的特性,近年来成为一种全新的微弱信号检测手段。为了克服随机共振绝热近似理论小参数条件的限制,提出一种基于欠采样随机共振的微弱信号检测方法。通过欠采样尺度变换与还原技术,实现了大参数信号的随机共振处理,突破了二次采样变尺度随机共振算法要求采样频率必须大于信号频率的50倍的限制。构建了基于欠采样随机共振的微弱信号检测模型,从理论上证明了方法的可行性。最后利用该方法对信噪比为-27 dB条件下的微弱单频信号检测进行了仿真,结果进一步验证了所提微弱信号检测方案的正确性。所提方法大大降低了信号的采样速率,为将随机共振应用于科斯塔斯(Costas)环的改进奠定了基础。
[Abstract]:Stochastic resonance (SR) has become a new weak signal detection method in recent years because of its characteristic of enhancing signal-to-noise ratio (SNR) of weak signal under certain conditions. In order to overcome the limitation of the small parameter condition of stochastic resonance adiabatic approximation theory, a weak signal detection method based on undersampling stochastic resonance is proposed. By means of the technique of under-sampling scale transformation and reduction, the stochastic resonance processing of large parameter signals is realized, which breaks through the limitation that the sampling frequency must be 50 times greater than the signal frequency required by the quadratic sampling variable scale stochastic resonance algorithm. A weak signal detection model based on undersampling stochastic resonance is constructed, and the feasibility of the method is proved theoretically. Finally, the method is used to simulate the detection of weak single-frequency signals with a signal-to-noise ratio of -27 dB, and the results further verify the correctness of the proposed weak signal detection scheme. The proposed method greatly reduces the sampling rate of the signal and lays a foundation for the application of stochastic resonance to the improvement of Kostas (Costas) ring.
【作者单位】：解放军理工大学通信工程学院;解放军96610部队;
【基金】：国家自然科学基金资助项目(61032004,91338201) 国家高技术研究发展计划(863计划)项目(2012AA121605,2012AA01A503,2012AA01A510)~~
【分类号】：TN911.23

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