基于相位分析与散射点关联的速度估计方法

宽带探测为目标高精度运动参数估计提供了可能。然而, 目标多散射特性以及姿态变化等因素限制了测速性能的进一步提升。为此, 提出一种基于相位分析与散射点关联相结合的有效方法。首先, 通过建立分段匀加速直线运动模型, 采用包络对齐方法与自适应Chirplet分解方法相结合的方式, 从回波的相位变化中提取出目标的运动信息。然后, 使用预测-观测的关联方法, 去除其中非平动因素的影响, 提高平动速度的估计精度。最后, 实测数据的实验结果证明了所提方法的有效性。

Velocity estimate method based on phase analysis and scatterers association

Wideband detection provides a way to estimate targets' motion parameters with a high degree of accuracy. However, some factors limit the promotion of velocity measurement performance, such as target's multiple scattering characteristics, change of target's posture, and so on. To solve this problem, an effective method based on phase analysis and scatterers association is put forward. Firstly, by building a segment model to present constant-acceleration motion in a straight line, and combining range alignment and adaptive Chirplet decomposition, we can get motion information of the target by analyzing change of phase. Secondly, the prediction-observation association method can be used to get rid of the influence of the not-translational factor, and lead to an improvement on estimate accuracy of translational velocity. Finally, experimental results using measured data confirm the practicality of the proposed algorithm.