基于DSFMT的旋转微动目标分离

针对窄带雷达距离分辨力低、无法从距离维分离弹道群目标的问题，提出利用离散正弦调频变换（DSFMT）分离群目标信号分量的方法。通过研究弹道目标的微动对回波信号的调制特性，建立微动信号的回波模型，利用离散正弦调频变换对正弦调频信号能量聚集的特性，将多分量信号投影到参数变换域上，构造目标函数，处理变换域上的峰值特征点，利用消去的思想逐步分离出各个信号分量。仿真实验验证了算法的有效性和鲁棒性。

Separation of Rotating Micro Motion Targets Based on DSFMT

To solve the problems that the narrowband radar range is low in resolution and is hard to separate trajectory group targets from range dimension, a method of separating group target signal components by using Discrete Sinusoidal Frequency Modulation Transform (DSFMT) is proposed. The modulation characteristics of micro motion ballistic target echo are studied and an echo model of micro motion signal is established. The energy aggregation characteristics of DSFMT are used to project multi component signal into transform domain. The objective function of parameter estimation is constructed to process the peak feature points in the transform domain, and the signal components are separated step by step. The effectiveness and robustness of the algorithm are verified.