摘要
单站无源定位具有作用距离远、隐蔽接收和结构简单等优点,在军事中有着广泛的应用前景,在航海、航空以及地球物理等研究中也扮演着重要的角色。为了解决现有单站无源定位方法不能较好地处理不确定和不对称噪声的问题,建立了一种模糊框架来表示不确定系统,并在此基础上,提出了一种模糊单站无源定位方法。该方法以相位差、相位差变化率和多普勒频率变化率为观测量,并使用模糊Kalman滤波方法进行定位跟踪。仿真表明:该方法能够很好地进行不确定情况下的单站无源定位,具有较好的定位精度。
Single observation passive locating systems are widely used in the military and in navigation,aerospace and geophysics systems because they have a long response distance,can be easily hidden and are easily deployed.Howerve,current passive locating methods can not easily deal with uncertainties and asymmetry.Thus,a fuzzy passive location system was developed with a fuzzy single observation passive location algorithm.The algorithm is based on information for the phase-difference,the phase-difference rate of change and the Doppler frequency rate of change,with a fuzzy extended Kalman filter to locate and track the object.The algorithm can handle not only fuzzy uncertainties but also Gaussian systems.Simulations demonstrate that this approach is quite accurate.
出处
《清华大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2011年第1期25-29,35,共6页
Journal of Tsinghua University(Science and Technology)
基金
200445
