典型复杂微动目标的建模和检测

Modeling and Detection of Typical Complex Micro- motion Targets

针对战场典型复杂微动目标的检测问题,提出了一种基于能量聚焦的微动目标检测方法。首先对3种复杂微动目标雷达回波的微多普勒特性进行了建模和仿真,分析了回波多普勒的频域和时频域特性,提取了雷达回波多普勒时频分析数据的能量聚焦特性,并提出了一种基于能量聚焦的广义似然比微动目标检测器。数值仿真表明,在不同的信噪比和虚警概率条件下,该检测器均可实现对3种复杂微动目标的有效检测。

In order to detect the typical complex micro-motion targets in battlefield,a micro-motion targets detection method based on energy focusing is proposed. First,the models of three complex micro-targets are established and simulated,their frequency-domain and time-frequency domain characteristics are analyzed,the frequency energy focusing characteristics of the echo time-frequency data are extracted. Then,a generalized likelihood ratio test （ GLRT） detector for micro-motion targets based on energy focusing efficiency is proposed. The numerical simulation shows that the GLRT has a good performance under different echo signal-to-noise ratio （SNR） and false alarm probability conditions.