摘要
针对当前机载单站对多目标定位精度不高和对多目标信号分选要求过高的不足,提出了基于贝叶斯后验概率最大化原理的机载单站多目标无源定位算法。该算法直接利用干涉仪获得多目标的混合相位差序列,同时融合载机的运动模型和多目标位置先验信息,提高了对多目标定位的精度和分辨率,降低了系统对多目标信号分选的要求。仿真实验表明了该算法的有效性。
The single airborne observer multi-target passive location is an important and tough task in the area of ELINT（electronic intelligence）. To improve the multi-target location precision and overcome the disadvantage of the high requirements for the signal sorting, a new algorithm of the single airborne observer multitarget passive location is presented based on the principle of maximum posterior probability. Directly using the mixed multi-target phase difference, the prior knowledge of the multi-target position and the moving model for the airborne observer, it can improve the multi-target location precision and decrease the requirement for the signal sorting. The simulation validates this method.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2006年第7期946-948,964,共4页
Systems Engineering and Electronics
基金
电子对抗国防科技重点实验室基金资助课题(51435030105QT2201)
关键词
电子侦察
无源定位
多目标
信息融合
electronic intelligence
passive location
multi-target
data fusion
