一维运动目标的特征估计

为了提取具有强平稳杂波背景和空间距离很近的散射体环境下运动目标的高距离分辨率特征,文中首先建立了强平稳杂波环境下运动目标的数学模型,采用基于松弛算法的非线性最小二乘算法估计了目标特征与杂波;然后对该算法进行了仿真实验,用最小均方误差与克莱美-罗界进行比较验证了该算法的优越性。数字举例证明了该算法在强平稳杂波环境下,对运动目标具有高分辨率和较好的估计性能。

Feature Estimation Based on 1-D Moving Target

High Range Resolution (HRR) Moving Target Indicator (MTI) is becoming important for many military civil, such as the detection and classification of moving targets in strong clutter background. We consider the problem of extracting the HRR features of moving targets with very closely spaced scatters in the presence of strong stationary clutter. After setting up and analysing mathematics model of strong clutter background, we analyse this kind of concretppler frequee course of MOVER algorithm on the basis of relaxing algorithm. In this algorithm, we detaile range migration and doncy of moving targets. Numerical results have shown that the proposed algorithm exhibits super-resolution and estimation performance.