基于最小二乘曲线拟合的时间配准方法研究

Research into Time Registration Method Based on Least-square Curve Fitting

针对单一手段探测低慢小目标能力不足的问题,提出了运用雷达/红外手段联合探测的方法。但在雷达红外数据融合之前,需要解决时间配准的问题。为解决这个问题,提出了一种基于最小二乘曲线拟合的时间配准改进方法,推导出了改进的最小二乘曲线拟合公式,分析了影响拟合精度的因素,通过仿真分析验证了该方法的有效性。

Aiming at the problem of insufficient capability detecting low altitude, slow and small tar- get by single means, a detection method combining with radar and infrared is presented. But before the fusion of radar data and infrared data,the problem of time registration must be solved. For sol- ving the problem, this paper brings forward an improved method of time registration based on least-square curve fitting,educes the improved least-square curve fitting formula, analyzes the fac- tors that influences fitting accuracy, verifies the validity of the method through simulative analysis.