基于微多普勒的弹道多目标分离方法

弹道多目标分离对弹道导弹早期预警和识别具有重大意义。目前弹道目标微动提取与识别的研究都是基于“单目标多散射点”和“多目标单散射点”的假设,而对实际中弹道“多目标多散射点”的情况缺乏考虑。针对这一问题,首先分析了进动锥体弹头和摆动锥体诱饵的微多普勒形式,得到了同一目标不同散射点的微多普勒具有相同的周期性。对于多目标分离问题,首先利用Radon变换估计平动参数实现了多目标平动补偿;之后通过分析多目标时频图循环平稳性,发现弹道多目标分离本质上是多个二维一阶循环平稳(first order cyclostationary,FOCS)分量的分离问题;其次，提出了一种基于二维FOCS处理的多目标分离方法；最后，通过仿真验证了该方法的有效性和在强噪声下的稳定性。

Multi-ballistic targets resolution based on micro-Doppler

Multi-ballistic targets resolution is significant for ballistic missile early warning and recognition. At present, the study on the micro-motion ballistic missile is confined in the assumption of “a single target with multi-scattering centers” and “multi-targets with a single scattering center”. To solve this problem, micro Doppler of precessing missile and swinging decoy are firstly derived. And it proves that the micro-Doppler with the same target and different scattering centers has the same cycle. Then radon transform is applied to compensate the translation. After analyzing cyclostationarity of multi-targets time-frequency plane, we regard multi-ballistic targets resolution as a problem to resolve a signal composed of several two-dimensional first-order cyclostationary (FOCS). A method based on the two-dimensional FOCS is proposed to resolve multi-targets. Finally, simulations are given to validate the effectiveness and the robustness in high noise environment of this method.