一种多方位-速度算法存在问题的分析

利用测量的目标方位序列和一个已知的目标速度来解算目标运动的其他参数,在实际使用中,该方法效果很差,与仅方位方法十分相似:精度低、收敛慢。针对这一反常现象进行研究,剖析一种多方位-速度算法,结果发现它与仅方位算法实际上是完全一样的。进一步分析表明,出现这一问题的原因在于该算法建模过程中出现了极易被忽视的失误,就是对相互制约的待估目标参数没有进行相应的约束,导致已知的目标速度未能强制进入解算过程参与其他参数的解算。给出的仿真算例验证了理论分析的结果。

Analysis of a problematic algorithm for tracking of target with known speed with bearing measurements

The performance of target tracking algorithms with bearing measurements plus a known target speed is not better than that of bearings-only algorithms in real applications.Some algorithms for tracking target with measured bearing series plus a known speed show no advantage over bearings-only algorithms,which often lead to poor tracking performance and unbearable slow convergence.One such the algorithm is presented and analyzed.It turns out to be exactly the same as a bearings-only algorithm.This is due to modeling carelessness to which some engineers and researchers are prone: the constraint between two parameters to be estimated is left out.The known target speed is therefore not forced into the process of solving the other parameters.Simulation is given to support the conclusions of theoretical analysis.