摘要
为解决信号检测理论在通讯、雷达、声纳、故障诊断等领域应用受限的问题,提出了随机M eln ikov方法研究非线性系统在微弱周期信号和噪声信号联合摄动下的混沌运动行为,得到了微弱周期信号和非高斯平稳有界噪声信号联合摄动下的混沌运动特征。混沌的临界幅值与噪声强度的关系表明,在不强的非高斯平稳有界噪声背景下,有界噪声增大了激励阈值,混沌现象不容易产生。
To address signal detection theory in communication, radar, sonar, fault diagnosis, and other restricted areas of application, put forward a random method of nonlinear Melnikov system and in weak signal noise signal cycle perturbation of the United chaotic motion, to be The cycle of weak signal and non-Gaussian noise signal smooth bounded joint perturbation of chaotic motion characteristics. Chaos and the amplitude of the critical relationship between the noise level shows that do not have a strong non-Gaussian smooth bounded noise, noise increases the incentive industry threshold, the chaos is not easy to produce.
出处
《吉林大学学报（信息科学版）》
CAS
2008年第6期566-570,共5页
Journal of Jilin University（Information Science Edition）
基金
国家自然科学基金资助项目(110581161)
