基于联合去噪和频率调制的微弱信号检测
发布时间:2018-02-07 17:17
本文关键词: Duffing振子 频率调制 联合去噪 差分 出处:《系统工程与电子技术》2014年10期 论文类型:期刊论文
【摘要】:针对强噪声背景中弱信号检测问题,在传统检测方法基础上,提出了基于联合去噪和频率调制的微弱信号检测方法。搭建自相关和小波阈值变换联合去噪系统,极大程度抑制了噪声对检测结果的不利影响。利用频率可调标准信号调制待测信号频率,使得被测信号与检测系统策动力信号的频率差满足检测条件,打破了利用Duffing振子检测系统只能检测与系统策动力频率相近信号的限制。双振子差分进行混沌特性判别的方法更具直观性,抗噪性能好,测量相对误差被控制在5%以内;且系统具有很高的抗干扰性,检测最低信噪比可达-41dB。仿真结果证明了该方法的可行性和有效性。
[Abstract]:Aiming at the problem of weak signal detection in strong noise background, a new weak signal detection method based on joint de-noising and frequency modulation is proposed based on traditional detection methods. A joint de-noising system based on autocorrelation and wavelet threshold transform is built. The frequency of the signal to be tested is modulated by the frequency adjustable standard signal, which makes the frequency difference between the measured signal and the dynamic signal of the detection system satisfy the detection condition. It breaks the limitation that the detection system of Duffing oscillator can only detect signals close to the frequency of the system's driving force. The method of distinguishing chaotic characteristics by using double oscillator difference is more intuitive, has good anti-noise performance, and the relative error of measurement is controlled within 5%. The system has high anti-jamming ability and the lowest signal-to-noise ratio (SNR) can reach -41 dB. The simulation results show that the proposed method is feasible and effective.
【作者单位】: 重庆邮电大学信号与信息处理重庆市重点实验室;
【基金】:国家自然科学基金(61071196,61102131,61371164) 教育部新世纪优秀人才支持计划项目(NCET-10-0927) 信号与信息处理重庆市市级重点实验室建设项目(CSTC2009CA2003) 重庆市杰出青年基金(CSTC2011jjjq40002) 重庆市自然科学基金(CSTC2012JJA40008) 重庆市教育委员会科研项目(KJ120525,KJ130524)资助课题
【分类号】:TN911.23
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