赵梓君, 刘鲁涛, 王乐萍. 基于旋转弹体的非理想阵列测向技术研究[J]. 中国舰船研究, 2024, 19(3): 1–7. doi: 10.19693/j.issn.1673-3185.03319
引用本文: 赵梓君, 刘鲁涛, 王乐萍. 基于旋转弹体的非理想阵列测向技术研究[J]. 中国舰船研究, 2024, 19(3): 1–7. doi: 10.19693/j.issn.1673-3185.03319
ZHAO Z J, LIU L T, WANG L P. Research on DOA technique of non-ideal array based on rotating projectile[J]. Chinese Journal of Ship Research, 2024, 19(3): 1–7 (in Chinese). doi: 10.19693/j.issn.1673-3185.03319
Citation: ZHAO Z J, LIU L T, WANG L P. Research on DOA technique of non-ideal array based on rotating projectile[J]. Chinese Journal of Ship Research, 2024, 19(3): 1–7 (in Chinese). doi: 10.19693/j.issn.1673-3185.03319

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

  • 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 algorithm 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 likelihood 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 online error calibration and signal parameter estimation for arrays with directione-dependent amplitude-phase inconsistency 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 estimation 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.

     

/

返回文章
返回