CAJ | 학술논문

针对无源定位系统中，机载单站相对于运动辐射源目标作为状态模型，在测方位角及其变化率基础上，引入多普勒频率变化率参数构建观测模型。常用的扩展卡尔曼滤波（EKF）存在不稳定和精度低的问题，采用修正增益的扩展卡尔曼滤波算法（MGEKF），找出修正函数矩阵，实现定位状态滤波估计。仿真结果表明，MGEKF算法较之EKF算法有较高的定位精度和较快的收敛速度。
침대무원정위계통중，궤재단참상대우운동복사원목표작위상태모형，재측방위각급기변화솔기출상，인입다보륵빈솔변화솔삼수구건관측모형。상용적확전잡이만려파（EKF）존재불은정화정도저적문제，채용수정증익적확전잡이만려파산법（MGEKF），조출수정함수구진，실현정위상태려파고계。방진결과표명，MGEKF산법교지EKF산법유교고적정위정도화교쾌적수렴속도。
In passive location system, the state model was set up as a airborne single observer moving emitter. The observa-tion model was formed on the base of measuring azimuth angle and its changing rate, and the parameter of Doppler frequen-cy changing rate was introduced. On counter of the instability and low precision in the passive location system with the fre-quently-used“Extended Kalman Filter”(EKF),“modified function matrix”was calculated, and“Modified Gain EKF”(MGEKF)was adopted. The result of simulation indicated that its precision was higher and its convergence speed was fast-er.