摘要
针对运动双站时频差无源定位中存在的非线性最优化问题,提出了基于布谷鸟(Cuckoo Search,CS)算法和牛顿法的混合定位算法。该算法将布谷鸟算法全局寻优的结果作为牛顿法的初值,利用牛顿法迭代求解目标位置,避免了布谷鸟算法收敛速度慢和牛顿法对初值选取敏感的缺陷。仿真结果表明,混合算法无需初始值先验条件就能实现对目标辐射源的单次瞬时定位;此外,当距离差或距离差变化率的测量误差小于10 dB时,定位误差能够逼近克拉美罗下界(Cramer-Rao Lower Bound,CRLB),具有较高的定位精度。
Aiming at the nonlinear optimization problem in the Time Difference of Arrival(TDOA)and Frequency Difference of Arrival(FDOA)passive location using moving dual⁃station,a hybrid location algorithm based on Cuckoo Search(CS)algorithm and Newton’s method is proposed.In the algorithm,the global optimization result obtained by the Cuckoo Search algorithm is regarded as the initial value of the Newton’s method,and then the Newton’s method is used to figure out the target position in the iterative way.It effectively avoids the defects of low convergence speed in the Cuckoo Search algorithm and high sensitivity to initial value in the Newton’s method.The simulation results indicate that the proposed method is effective for once instantaneous location of emitter without an initial priori information.In addition,the location error almost achieves the Cramer⁃Rao Lower Bound(CRLB)if the measurement error of range difference or range difference rate are lower than 10 dB,which can demonstrate that the proposed method has great location accuracy.
作者
张君君
李敬德
徐晓敏
ZHANG Junjun;LI Jingde;XU Xiaomin(Research Institute of CETC,Jiaxing 314033,China)
出处
《电子设计工程》
2023年第12期78-82,共5页
Electronic Design Engineering
