针对坐标测量雷达精度标校过程中,静态标校存在局限性和动态标校存在分段非线性的问题,分析了静态标校和动态标校的机理和相互关系,得到两种标校方式是相互补充、完整统一的结论。提出了基于逆秩2 拟牛顿法(BFGS)的联合静态和动态标校的数据处理方法,该方法将静态标校值作为初值,动态校飞误差的最小均方值作为目标函数,通过搜索和迭代计算求得最终修正值。实际应用结果表明:该方法能够有效解决标校过程中的问题,提高雷达测量精度,对于指导开展雷达标校工作具有现实意义。

To solve the limitation of static calibration and the piecewise nonlinearity of dynamic calibration in accuracy calibration of coordinate measuring radar, the principle and relationship between static calibration and dynamic calibration is analyzed, the result shows that the two methods are complemental and unified, then a data processing method combining static and dynamic calibration based in BFGS quasi-Newton method is put forward, which uses static calibration as the initial value, and the minimum mean square value of the dynamic flying error as the objective function, the final correction value is obtained through searching and iterative calculation. The practical application results show that the method can effectively solve the above mentioned problem and improve the measurement accuracy of radar, which has practical significance for guiding radar calibration.

TN958

军内重点科研项目