微弱暂态信号的混沌高效检测方法研究

As influenced by complex electromagnetic environment (CEME) and etc, many of the concerned signals, named weak transient signal, have characteristics of weak strength and short effective-duration. They are difficult to be detected, which contain a lot of useful information but can hardly be extracted. Recently, the chaotic weak signal detection technique provides a way to find these transient signals in strong noise background. The project focuses on three main issues, including of system’s anti-noise robustness, sensitivity of transient incentive and detection efficiency. Main content including: (1) One chaotic detection method under noise incentive is proposed to compensate for the noise immunity haphazard of existing system, which is expected to improve system stability; (2) And then, the algorithm only required transient incentive is studied, providing a new way for extracting the transient incentive of short-duration and low instantaneous signal to noise ratio. (3) Finally, an efficient chaotic prediction approach based on recursive filtering, which avoid waiting for the system phase-state transition process, is proposed. It is expected to implement sentence in pending and achieve efficient detection of signals..This study is aimed to achieve detection of weak transient signals robustly, accurately and efficiently, as well as expand the applicable scope of chaotic oscillators’ special feature: noise immunity and signal sensitivity.

受复杂电磁环境等的影响，人们关注的许多信号都具有信号强度微弱、有效持续时间短暂的特点，即体现为难以被检测的微弱暂态信号，其中包含的大量有用信息也很难被提取。混沌弱信号检测技术，为从强背景噪声中检测出暂态目标信号提供了思路。本项目围绕其中存在的系统抗噪稳健性、暂态激励敏感性和检测有效性等三大问题展开研究。主要内容包括：⑴提出噪声激励下的混沌稳健检测方法，弥补现有混沌检测系统免疫噪声存在偶然性的不足，有望提升系统模型的检测稳健性；⑵提出暂态激励下的混沌检测方法，克服现有混沌检测方法要求持续激励的不足，为准确检测持续时间短、瞬时信噪比低的暂态激励提供一种新途径；⑶提出基于递推滤波的高效混沌预测方法，规避传统混沌检测方法等待相变发生的过程，有望实现在相变发生前“未决而先判”，实现信号高效检测。.本项目有望实现微弱暂态信号的稳健、准确、高效检测，以期拓展混沌振子“噪声免疫、信号敏感”特性的适用范围。

受复杂电磁环境等的影响，人们关注的许多信号都具有信号强度微弱、有效持续时间短暂的特点，即体现为难以被检测的微弱暂态信号，其中包含的大量有用信息也很难被提取。混沌弱信号检测技术，为从强背景噪声中检测出暂态目标信号提供了思路。本项目围绕其中存在的系统抗噪稳健性、暂态激励敏感性和检测有效性等三大问题展开研究。主要内容包括：⑴提出噪声激励下的混沌稳健检测方法，弥补现有混沌检测系统免疫噪声存在偶然性的不足，有望提升系统模型的检测稳健性；⑵提出暂态激励下的混沌检测方法，克服现有混沌检测方法要求持续激励的不足，为准确检测持续时间短、瞬时信噪比低的暂态激励提供一种新途径；⑶提出基于递推滤波的高效混沌预测方法，规避传统混沌检测方法等待相变发生的过程，有望实现在相变发生前“未决而先判”，实现信号高效检测。.本项目有望实现微弱暂态信号的稳健、准确、高效检测，以期拓展混沌振子“噪声免疫、信号敏感”特性的适用范围。