摘要
提出了相位差变化率与SUKF算法相结合的单站无源定位方法.通过Matlab仿真,对SUKF与原始的UKF和成熟的EKF进行了比较.结果表明:与UKF相比,SUKF降低了运算复杂度,在保证了UKF的定位精度的同时减少了计算量;并且SUKF和UKF算法均无需去计算EKF中的雅克比矩阵,实现简单,具有更高的收敛速度和定位精度.
A new single-station passive location method, which combines the phase-difference changing rate and SUKF algorithm,was proposed. Through simulations with Matlab software, SUKF was compared with primitive UKF and mature EKF. The results showed that, compared with UKF, SUKF has lowered the operational complexity and reduced the computational quantity, but guaranteeing the location precision of UKF. Furthermore, both SUKF and UKF algorithms don＇t need to calculate the Jacobi matrix in EKF, so it is easy to be implemented. Also, the proposed method possesses faster convergence speed and higher location precision.
出处
《应用科技》
CAS
2008年第11期31-34,共4页
Applied Science and Technology
关键词
无源定位
相位差变化率
UKF
SUKF
passive localization
phase-difference changing rate
UKF
SUKF
作者简介
吕大伟（1982-），男，硕士研究生，主要研究方向：宽带信号检测、处理与识别，E—mail：tabkk@126．com.
