摘要
单站无源定位与跟踪（SOPLAT）技术逐渐成为定位跟踪领域的研究重点。首先分析了基于扩展卡尔曼滤波（EKF）的结合角度变化率、相位差变化率、多普勒频率和多普勒频率变化率的单站无源定位算法，然后利用基于极坐标的扩展卡尔曼滤波（PC—EKF）对该定位算法进行改进。计算机仿真表明，改进后的定位算法具有更高的定位精度。
Single observer passive localization and tracking （SOPLAT） technique has become more and more popular in target localization field. First, the algorithm of single observer passive localization combined with angle change rate, phase difference change rate, Doppler frequency and Doppler frequency change rate based on extended Kalman filter （EKF） is analyzed. Then, the localization algorithm is improved using extended Kalman filter based, on polar coordinates （PC - EKF）. The computer simulation shows that, the improved algorithm of localization can get better localization accuracy.
出处
《电子对抗》
2010年第2期11-14,共4页
Electronic Warfare
关键词
单站无源定位
扩展卡尔曼滤波(EKF)
角度变化率
相位差变化率
多普勒频率变化率
极坐标
single observer passive localization
extended Kalman filter （EKF）
angle change rate
phase difference change rate
Doppler frequency change rate
polar coordinates
