混响是主动声纳检测中主要的背景干扰,它是一种有色干扰噪声,并常被看作是一个非平稳的随机过程,这使得工作在白噪声条件下检测器的性能在一定程度上受到限制。关于混响背景下信号的检测问题是人们一直关注的问题,通常人们将混响视为随机信号进行建模,而忽视它的混沌特性。将混响视为混沌噪声并进行混沌建模,利用Volterra滤波器实现混响时间序列预测,实现混响背景噪声下信号的检测,并通过仿真得到预期结果。 Reverberation is the main background noise in active sonar detection. It is a kind of colored interference noise and is often regarded as a nonstationary stochastic process, which makes the performance of the detector working under white noise to a certain extent restricted. The problem of signal detection in the background of reverberation has always been a concern. Usually, people regard reverberation as a stochastic signal to model, while ignoring its chaotic characteristics. Reverberation is regarded as chaotic noise and chaotic modeling. Volterra filter is used to predict the reverberation time series, and the signal is detected under the reverberation background noise. The expected result is obtained through simulation.