低信噪比下的多分量LFM信号参数估计

针对低信噪比奈件下传统多分量LFM信号参数估计方法失效问题，提出了一种基于二值图像细化处理和图像流滤波的TFRT-HT-ISF方法．该方法对接收信号的RSPWVD图像进行形态学细化处理解决了时频聚集性降低的问题，采用图像流滤波技术滤除了来自干扰噪声的闽值处理后的剩余虚假尖峰．仿真结果表明，该方法能够在低信噪比条件下准确有效地进行多分量LFM信号参数估计．

Estimation of Multi-component LFM Signal Parameters in Low SNR

Concerning the invalidation of conventional multi-component LFM signal parameter estimation method under the condition of low SNR, a novel estimation technique abbreviated to TFRT-HT-ISF was presented in terms of the binary image thinning processing and image stream filtering, which solves the problem of time- frequency characteristic worsening via performing morphologic thinning processing on the RSPWVD image of received signals. Meanwhile, by employing the image stream filtering technique it removes the residual false peaks resulted from jamming noise after threshold processing. The simulation results show that the new method carried out can estimate the parameters of multi-component LFM signal in low SNR precisely and effectively.