核脉冲信号快速提取方法研究

Research on Fast Extraction Algorithm of Nuclear Pulse Signal

当存在环境本底噪声以及其他噪声干扰时,传统检测方法难以实现核脉冲信号高精度、高效率检测,提出了一种快速检测核脉冲信号的方法。首先,用自相关检测和滑动窗口相结合的方法构建信号检测器截取有用信号;其次,利用最优方向法对每一段有用信号训练生成相对应的完备字典,获取核脉冲信号的时域信息;最后,利用稀疏分解算法中的匹配追踪算法从每一段信号相对应的完备字典中选择最佳原子重构信号。通过Matlab仿真实验和实测实验验证了所提方法的快速性和有效性。改进的算法能够有效避免追踪算法时间复杂度高的问题,将核脉冲信号的检测效率提高近50倍。

Given the existence of noise floor and other noise interference,traditional detection methods are difficult to achieve high-precision and high-efficiency detection of nuclear pulse signals.In this paper,a method which can make nuclear pulse signals quickly detected was proposed.Firstly,a signal detector was constructed to intercept useful signals by combining autocorrelation detection and sliding window.Then,the method of optimized direction was used to train each useful signal so that we are able to build up a corresponding complete dictionary to obtain the time domain information of the nuclear pulse signal.Lastly,the matching pursuit algorithm in the sparse decomposition algorithm was also used to assure the best atomic reconstruction signal selected from the complete dictionary corresponding to each segment of the signal.The paper verified the rapidity and effectiveness of the proposed method through Matlab simulation experiments and experimental tests.The improved algorithm can effectively avoid the high computational complexity of the tracking algorithm and greatly improve the detection efficiency of the nuclear pulse signal by nearly 50 times.