%0 Journal Article
%T 一种改进的基于UKF的单站无源定位方法<br>An Improved Algorithm Based on UKF for Single Station Passive Location
%A 邓佳欣
%J Hans Journal of Wireless Communications
%P 36-42
%@ 2163-3991
%D 2021
%I Hans Publishing
%R 10.12677/HJWC.2021.112005
%X 单站无源定位是电子侦察设备的一个重要功能。然而，现有的方法要么涉及到复杂的非线性运算，要么定位平台需经过长时间机动才能给出目标位置估计值。对于要求反应速度快、功耗低、体积小的设备，现有的方法并不适用。针对该问题，提出了一种改进的单站无源定位方法，首先结合三角定位法对定位点进行粗略估计，然后基于UKF进行滤波优化。仿真实验表明，该方法能够快速给出定位值，并能经过滤波逐步收敛。<br />
Single station passive location is an important function of electronic reconnaissance device. However, the existing methods either refer to complicated nonlinear equations, or need the station to move long time. For the device which is restricted to real time response, low power dissipation, small volume, these methods are not suitable. Aim at this problem, an improved algorithm for single station passive location is proposed. First, triangulation is executed to acquire rough estimation, then optimizing the estimation based on UKF. Simulation results demonstrate that the proposed algorithm can get the location in time, and converge to real position.
%K 无源定位，UKF，电子侦察<br>Passive Location
%K UKF
%K Electronic Reconnaissance
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=41996