CAJ | 학술논문

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。
침대궤동평태전감기비협동오차배준기술실시난도대화배준효과차적문제,대기우합작목표적협동오차배준기술진행료연구。수선근거전감기대합작목표적지구직각좌표계량측방정,건립료계통오차적고계모형,연후근거건립적계통오차고계모형,이용전감기획득적량측화목표통과수거련상보적도항신식,채용최대사연고계기술,대계통오차진행고계。방진결과표명：해계통오차고계모형가득도계통오차적유효고계,병대목표적도항오차구유강로봉성,인차해산법구유일정적공정응용전경。
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.