摘要
噪声中的瞬态信号的估计在雷达目标检测和识别等领域具有非常重要的地位。本文利用高阶矩的性质，提出一种改进的基于双谱估计的瞬态信号重构算法。在获得含噪数据的三阶累积量的基础上，构造一个适宜的ＡＲＭＡ模型。由模型输出信号的双谱来重构瞬态信号。仿真结果表明，这种方法即使在低信噪比的情况下，对瞬态信号也有较好的拟合性能。
Estimation of transient signal in additive noise is very important in radar object detection and recognition. This paper presents a modified estimation algorithm for transient signal reconstruction based on bispectrum. The third order cumulants of noisy observation data are acquired first and an ARMA model is then fitted. The bispectrum of the output signal of the ARMA model will be used to reconstruct the transient signal. Simulation results show that the effect is very good even in lower signal to noise(SNR) situation. [WT5”HZ〗
出处
《系统工程与电子技术》
EI
CSCD
1998年第2期22-25,42,共5页
Systems Engineering and Electronics
关键词
信号分析
模型
目标识别
Transient signal, Bispectral estimation, Cumulant, Parametric model.
