摘要
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。
In active sonar detection,reverberation is the dominant background interference.It is a colored disturbance noise and is always regarded as a non-stationary random process,which degrades the performance of the matched filter that is the optimum detector in white background noise. The detection signal in reverberation noise is an important problem. The reverberation usually is regarded as stochastic signal,and its chaotic characteristics are ignored. If taking the reverberation as chaotic noise,the detection method can be used under chaotic noise to detect signal in reverberation noise. And the simulation result is famous.
出处
《系统仿真学报》
EI
CAS
CSCD
北大核心
2008年第20期5627-5629,5634,共4页
Journal of System Simulation
