基于概率密度的多基阵声目标被动定位算法研究

Improved Source Location by Multiple Arrays Based on Probability Density

采用一种基于概率密度的方法对常规多站时差定位法进行改进,并给出该方法的计算推导公式。该算法在获取目标位置初始值的基础上,将目标方位看成是满足一定概率密度的多个测量子集,寻找出多个子集共同密度对应的最大点,即为目标的最终位置。通过实测数据验证,实验结果表明,在合理布置辅阵位置的基础上,基于概率密度的定位算法可以大幅度降低定位误差,从而提高定位精度。尤其是在目标远距离飞行时,定位精度明显优于常规时差定位法,具有重要的实用价值。

A new method based on probability density has been adopted to improve the regular time-difference-of-arrive（TDOA） to make the result of source location more accurate in this paper.And the formula of this new method was given.In this new method,on the basis of the initial source location,it is considered as a measured subset which can be described by certain probability density.Then the paper finds the maximum probability density of the total probability density composed of subset from some other arrays.And that point is seen as the target placement.Simulation result is given in the paper,and the location error has dropped sharply,especially when targets are far away.