摘要
Radon-Ambiguity变换是一种检测低信噪比下线性调频信号的有力工具。但在多信号环境下,强线性调频信号分量的Radon-Ambiguity变换对弱线性调频信号分量的Radon-Ambiguity变换有较强的抑制作用。同时Radon-Ambiguity变换对具有相同调频斜率和不同初始频率的线性调频信号分量不能实现识别与区分。提出了一种基于逐次滤波Radon-Ambiguity变换的时频表示方法可以有效地检测出多种情况下的多个线性调频信号。仿真试验证明了此方法可以有效地去除噪声、多信号之间交叉项的影响,在低信噪比下也十分有效。
Radon-Ambiguity Transform (RAT) is a good tool for detection Linear Frequency Modulated (LFM) signal in low Signal to Noise Ratio (SNR) condition. But in multi-LFM signals condition, Radon-Ambiguity transform of the strong LFM component has strong suppression effect on that of the weak LFM component. Moreover, RAT can not distinguish LFM signals with same frequency rate but with different initial frequency. A method named as time frequency representation basing on recursive filtering Radon-Ambiguity transform algorithm is proposed for solving this problem. The merit of de-noising and cross terms suppression of this method has been illustrated by computer simulation in low SNR condition.
出处
《声学学报》
EI
CSCD
北大核心
2004年第6期557-561,共5页
Acta Acustica
