抽取时频分布图像脊-Hough变换算法及其性能分析

在分析了双线性时频分布-Hough变换算法对多分量Chirp信号检测与参数估计原理的存在问题后，提出了将多分量Chirp信号的双线性时频分布作为图像，抽取图像脊后，再进行Hough变换的改进方法。仿真试验结果表明，改进的方法不仅解决了WVD的交叉项引起Hough变换的伪尖峰对检测所造成的误判，而且缩短了双线性时频分布因平滑交叉项导致时频聚集性下降而引起的Hough变换增加的时间，从而提高了Chirp信号检测与参数估计的准确性，也进一步改善了该算法的抗噪声性能。

Ridges Extraction of Time-frequency Distribution Image-hough Transform and Its Performance Analysis

After analyzing the principle and the shortcoming of detection and parameters estimation for the multi component Chirps signal based on the bilinear time frequency distribution Hough transform, an improved method has been proposed in this paper, which the bilinear time frequency distribution of the multi component Chirps signal is regarded as an image, and ridges extraction operation is applied to the image and then the principle of detecting the line of Hough transform is used. The simulation results have shown that the proposed method not only can eliminate false detection resulted from pretense peak value of the cross term and shorten the time of executing Hough transform, but can also increase the accuracy of detection and parameters estimation and reduce noisy interference.