CAJ | 학술논문

在多站测角的被动目标跟踪中,目标的状态与角度量测值之间存在非线性关系,现有的方法主要是对其进行线性化,但线性化过程会带来滤波精度的下降,甚至会产生滤波发散而丢失目标。针对这一问题提出一种新方法,由于利用多普勒测速原理可以获得目标运动速度,因此将目标运动速度引入量测方程中,通过附加独立信息观测通道以期提高目标跟踪的收敛精度和收敛速度。仿真结果证实会使滤波算法收敛速度加快,收敛精度提高,改善跟踪性能。
재다참측각적피동목표근종중,목표적상태여각도량측치지간존재비선성관계,현유적방법주요시대기진행선성화,단선성화과정회대래려파정도적하강,심지회산생려파발산이주실목표。침대저일문제제출일충신방법,유우이용다보륵측속원리가이획득목표운동속도,인차장목표운동속도인입량측방정중,통과부가독립신식관측통도이기제고목표근종적수렴정도화수렴속도。방진결과증실회사려파산법수렴속도가쾌,수렴정도제고,개선근종성능。
In multi-sensor bearings-only passive target tracking,the state of the target has a nonlinear relation with the bearings measurements.Existing methods focus mainly on the process of linearization.However,in this process,a precision decrease is obviously unavoidable and even filter divergence will occur so as to lose the target.Therefore a new algorithm is proposed.Because target＇s velocity can be measured by doppler principle,so the target＇s velocity is adopted in the measurement equation and a new kalman filtering algorithm is established.Simulation results indicate that this method can increase the convergent precision and accelerate the convergent.