欠采样信号频率估计

FREQUENCY ESTIMATION OF UNDERSAMPLED SIGNALS

在合成孔径雷达 ( SAR)对运动目标成像和 MTI、MTD雷达探测动目标时 ,都有可能出现频率模糊现象 ,到目前为止 ,还没有快速、有效地解此频率模糊的算法。本文提出了高阶模糊函数 ( HAF)分析欠采样信号的新方法。HAF算法从相位降阶角度出发分析连续调频信号 ,与时频分析法相比 ,大大降低了计算量 ,且放松了边界条件要求。

The phenomenon of frequency confusion may happen when moving objects are imaged by a synthetic aperture radar(SAR), or are detected by a MTI/ MTD radar. Thus far there does not exist any fast and effective algorithm to solve the problem. A novel method to analyze undersampled signals by high-order ambiguity function (HAF ) is here proposed. Compared with the Wigner-Ville distribution (WVD) process, the proposed HAF algorithm can decrease computation burden to a great extent and necessitate less strict boundary conditions.