基于旋转弹体的非理想阵列测向技术研究
Research on DOA technique of non-ideal array based on rotating projectile
赵梓君 1刘鲁涛 1王乐萍2
作者信息
- 1. 哈尔滨工程大学 信息与通信工程学院,黑龙江 哈尔滨 150001
- 2. 陆军工程大学 通信工程学院,江苏 南京 210007
- 折叠
摘要
[目的]针对旋转弹测向系统在飞行过程中由强杂波环境带来的误差干扰进行研究,提出一种实时校正的波达方向(DOA)估计算法.[方法]该算法利用阵列旋转角度这一先验条件,基于最大似然(ML)准则,实现对共形阵列误差和信号空域-极化域参数的联合估计.[结果]仿真实验表明,该算法对存在方位依赖的幅相不一致性误差的阵列系统,可以实现在线的误差和信号参数联合估计,且该算法的估计性能均与阵列平台旋转次数和信噪比(SNR)相关,当旋转次数达到 24 以上时,在低信噪比为 10 dB情况下空域参数估计误差在 1°以下.[结论]所提算法采用分维交替处理的思路来解决多参数估计问题,在保证参数收敛的同时大幅降低了运算的复杂度.
Abstract
[Objective]This paper proposes an online calibration direction-of-arrival(DOA)estimation al-gorithm to solve the problem of error interference by strong clutter in the flight of a rotating missile direction-finding system.[Method]Using the prior condition of the known array-rotation angles,the maximum likeli-hood criterion-based method is used to estimate the conformal array errors and spatial-polarization parameters of the signal.[Results]The simulation experiment results show that the proposed algorithm can achieve on-line error calibration and signal parameter estimation for arrays with directione-dependent amplitude-phase in-consistency errors.Moreover,the estimation performance of the algorithm is related to the rotation times of the array platform and signal-noise ratio(SNR)ratio.When the number of rotations exceeds twenty-four,the es-timation error of the spatial domain parameters is less than one degree under the condition of low SNR(10 dB).[Conclusion]The proposed algorithm uses the idea of fractal dimension alternating processing to solve the multi-parameter estimation problem,enabling it to ensure the convergence of parameters and greatly reduce computational complexity.
关键词
在线校正/阵列旋转/波达方向估计/极化敏感阵列Key words
online calibration/array rotation/direction-of-arrival estimation/polarization sensitive array引用本文复制引用
基金项目
国家自然科学基金资助项目(62071137)
出版年
2024
国家科技期刊平台
NSTL
万方数据