Estimation Method of Translational Parameters for Different Translational of Ballistic Targets in Midcourse
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摘要: 弹道中段多目标具有不同的平动参数,以往针对单目标和同一平动参数的群目标的平动补偿方法不再适用。针对此问题,该文提出了基于高阶模糊函数、延迟共轭相乘及时频分布处理相结合的多目标平动参数和微动周期估计方法。首先,该方法利用高阶模糊函数估计出平动2阶加速度和微动周期;然后,通过对1次补偿后的回波进行延迟共轭相乘估计出平动1阶加速度;最后,利用2次补偿后目标回波时频图的差异,对时间轴进行加权累加估计出剩余平动速度。仿真结果验证了所提算法对于多目标不同平动参数估计的有效性。Abstract: Multi-ballistic targets have different translational parameters in midcouse. The former translational compensation methods for single target and group targets with the same translational parameters are no longer applicable. In order to solve this problem, a new method of multi-target translation parameters and micro-motion period estimation is proposed based on high-order ambiguity, delayed conjugate multiplication and time-frequency distribution processing. First, the second-order translational acceleration and micro-motion period are estimated by using the high-order ambiguity. Then, the first-order translational acceleration is estimated by the delayed conjugate multiplication of the echo after the first compensation. Finally, the residual translational velocity is estimated by the weighted accumulation of the time axis based on the difference of the time-frequency image of the echo after the second compensation. The simulation results show the effectiveness of the proposed algorithm for multi-target estimation of different translational parameters.
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图 6 文献[10]采用的Radon变换
图 7 文献[10]检测到的平动直线
图 8 文献[11]检测到的角点和拟合曲线
表 1 多目标同平动参数的估计性能
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