CAJ | 학술논문

利用频率变化率、方位角及俯仰角信息,提出一种对固定辐射源的三维单站无源定位算法.该方法通过质点运动学原理,得出目标辐射源的位置,之后采用 EPF 滤波算法进行处理,对粗略定位结果进行修正和平滑,逐步估计出目标的位置.EPF(Extended Particle Filter)滤波是将 EKF(Extended Kalman Filter)算法作为重要性函数的一种粒子滤波方法.仿真结果表明,基于 EPF 滤波的单站无源定位算法比传统的 EKF 滤波算法收敛更快、更稳定,滤波效果更好,定位精度更高,这对无源定位跟踪算法精度的提高和实际应用有很大的意义.
이용빈솔변화솔、방위각급부앙각신식,제출일충대고정복사원적삼유단참무원정위산법.해방법통과질점운동학원리,득출목표복사원적위치,지후채용 EPF 려파산법진행처리,대조략정위결과진행수정화평활,축보고계출목표적위치.EPF(Extended Particle Filter)려파시장 EKF(Extended Kalman Filter)산법작위중요성함수적일충입자려파방법.방진결과표명,기우 EPF 려파적단참무원정위산법비전통적 EKF 려파산법수렴경쾌、경은정,려파효과경호,정위정도경고,저대무원정위근종산법정도적제고화실제응용유흔대적의의.
A 3-D single observer passive positioning method based on frequency variation, azimuth and elevation information is presented. According to the theory of particle kinematics, the radiation position of target can be obtained and processed by using EPT. The rough positioning result is corrected and smoothed to estimate the position of target. EPF (Extended Particle Filter) is a particle filtering method taking EKF as an important function. Simulation results show that EPF-based single observer passive position method is used to achieve more quick and stabilized convergences and better accuracy than conventional EKF. It has profound significance for improvement in passive positioning and tracking algorithm and actual application.