摘要
针对机动平台传感器非协同误差配准技术实施难度大和配准效果差的问题,对基于合作目标的协同误差配准技术进行了研究。首先根据传感器对合作目标的地球直角坐标系量测方程,建立了系统误差的估计模型,然后根据建立的系统误差估计模型,利用传感器获得的量测和目标通过数据链上报的导航信息,采用最大似然估计技术,对系统误差进行估计。仿真结果表明:该系统误差估计模型可得到系统误差的有效估计,并对目标的导航误差具有强鲁棒性,因此该算法具有一定的工程应用前景。
On account of the disadvantage that mobile platform sensor noncooperative registration technology using opportunity targets is difficult to apply in practice and to work well even if applied, the cooperative registration technology using known targets was studied. Firstly, according to the measurement equation in earth-centered earth fixed coordinate system on cooperative target, the estimation model of systematic biases was constructed. And, based on the built estimation model of systematic biases and using the measurements from sensor it self and from the cooperative targets~ reports on navigation information by datalink, systematic biases are estimated by maximum likelihood estimate method. The simulation results show that the estimation model can obtain the effective estimation of systematic biases and is robust against navigation error. Hence the estimation model is adapted to registrate mobile platform sensors in practice.
出处
《舰船电子工程》
2012年第7期78-81,106,共5页
Ship Electronic Engineering
基金
国家自然科学基金项目(编号:60801049)
国家自然科学重点基金项目(编号:61032001)资助
关键词
机动平台
误差配准
最大似然估计
mobile platform, bias registration, maximum likelihood estimate
