混沌直扩信号检测的最大Lyapunov指数方法

混沌直扩信号是一类兼有混沌信号和直扩信号优点的扩频通信信号，但带来优点的同时也使得传统直扩信号的检测方法不再适用于混沌直扩信号. 该文针对复杂环境下非合作混沌直扩信号检测的问题，分析传统直扩信号检测方法. 通过考察混沌特性判别混沌信号的方法，提出先通过C-C方法确定重要参数，以小数据量法计算接收信号的最大Lyapunov指数，实现对混沌直扩信号的检测. 验证了该方法在高斯噪声、衰落信道、多径信道、不同扩频比等条件下的适用性.

Detection of Chaotic Direct Sequence Spread Spectrum Signal Based on the Largest Lyapunov Exponent

Chaotic DS signal is a kind of spread spectrum signal that has the merits of both chaotic and directsequence spread spectrum (DSSS) signals. In order to realize blind detection of chaotic DSSS signal, both conventionalDSSS signal methods and chaotic signal detection methods are investigated. A novel method is introduced inwhich the C-C method is used to determine key parameters. The largest Lyapunov exponent of time series is then calculated using small data sets. Simulation results verify feasibility of this method under different conditions such as Gaussian noise and multi-path channel.