摘要
详细分析了多传感器系统TRn(T表示一个发射传感器 ,Rn 表示n个接收传感器 )对空中近程目标位置和速度矢量进行测量的最优估计方法 .讨论了最优相干中心化处理与分散化处理的关系 ,对分散化处理的性能进行了分析 ,并给出了其误差的克拉美—罗下界 (CRLB) .最后对一特例进行了数值计算 ,结果表明该系统具有较高的定位精度 .
The optimal estimate method is presented in detail for estimating the position and velocity vectors of a short range target in space with a multisensor system TR n (one transmitting sensor and n receiving sensors), and the relation between the coherent centralizing processing and decentralizing processing is discussed. After analyzing the performance of decentralization processing, the Cramer Rao lower bound (CRLB) for the estimator is given. Finally, some computational results for a special case are obtained. The results demonstrate that the system can locate a target with high accuracy.
基金
国家自然科学重点基金资助项目!(6 99310 40 )
关键词
多传感器系统
状态估计
高精度测量
近程目标
multisensor system
state estimation
performance analysis
optimal processing
