摘要
面向未知目标高精度高稳定多站无源定位,研究了基于肥田优化算法的多站无源定位技术。首先推导了针对地面目标的多站无源定位方程组,并利用罚函数将多站无源定位非线性方程组转化为无约束目标函数,从而将方程组求解问题转化为优化问题;在此基础上,以获取目标函数最优值为目标,进一步提出了基于肥田优化算法的多站无源定位策略。该策略利用风虫分散、高肥沃度种子选取等机制将全局搜索与局部优化相结合,在避免陷入局部最优的同时,逐步收敛到全局最优解,具备较强全局收敛性;由于其解算目标位置不依赖于任何初始条件,因此应用于无源定位系统中无需通过粗估计选取初始值即可完成精确位置估计,具备较高的普适性。仿真结果表明,所提定位算法可通过较少的迭代次数达到全局收敛,对不同目标实施多次定位过程中具备较高稳定性,并且在不同噪声环境下均可获得较高定位精度。结合以上优势,基于肥田优化算法的多站无源定位技术可应用于对海量目标态势的分析研判。
In this article,the high-precision and high-stability passive location based on fertile field algorithm(FFA)is studied.First,multi-station passive location nonlinear equations for ground targets are derived,and then they are transformed to an unconstrained objective function in a penalty-based way,making it easier for them to be solved through optimization methods than by direct equation-solving approaches.For minimizing the objective function to obtain the globally optimal solution,a multi-station passive location method based on the fertile field optimization algorithm is proposed which integrates global exploration and local exploitation by leveraging mechanisms such as wind and animals to facilitate seed dispersal and high-fertility seed selection.While avoiding premature convergence to local optima,the approach progressively converges to the global optimal solution,demonstrating robust global convergence properties.Since the solution for target position does not rely on any initial conditions,the proposed method enables precise location estimation in passive location systems without requiring coarse initial value estimation,thus demonstrating high universality.It is also verified that the proposed algorithm can achieve global convergence with fewer iterations,especially having a relatively high stability during multiple positioning of different targets.In addition,the high location accuracy can be obtained under different requirements on the estimation error.Based on these advantages,the proposal can be used to analyze and judge the situation of massive targets.
作者
侯晓庚
杜清河
缪中宇
陈潇扬
肖玉权
刘枫
HOU Xiaogeng;DU Qinghe;MIAO Zhongyu;CHEN Xiaoyang;XIAO Yuquan;LIU Feng(Institute of Telecommunication and Navigation Satellites,China Academy of Space Technology,Beijing 100094,China;Innovation Center of Satellite Communication System,Beijing 100094,China;School of Information and Communications Engineering,Xi’an Jiaotong University,Xi’an 710049,China)
出处
《西安电子科技大学学报》
北大核心
2025年第4期46-54,共9页
Journal of Xidian University
基金
“十四五”民用航天技术预先研究项目(D030307)。
关键词
无源定位系统
肥田优化算法
全局收敛
定位稳定性
定位精度
passive location system
fertile field algorithm
global convergence
location stability
location accuracy
