摘要
阵列定位的计算结果中往往存在大量的野值,需要用后置处理方法从结果中选取真实目标信息。本文提出了一种基于Kalman滤波的二级后置处理方法,建立了相应的滤波模型,并对主要参数进行讨论选取,同时给出了外场实验结果。结果表明此方法后置处理效果明显,并可以满足系统实时性的要求。
Post processing is necessary for the use of acoustic array to truck the true source and reduce errors. This paper presents a two-step Kalman filter, post processing method in passive acoustic localization, gives the relevant filter model and discusses selection of its main parameters. Field-test＇s results show that this method performs well and is suitable for real-time passive localization.
出处
《应用声学》
CSCD
北大核心
2008年第1期11-16,共6页
Journal of Applied Acoustics
