基于窄带高分辨特征的锥体目标参数估计  

Cone-shaped target parameter estimation based on narrow-bandhigh resolution feature

作　　者：韩勋[1] 郑佳 冯鑫 匡银[1] 文伟 Han Xun;Zheng Jia;Feng Xin;Kuang Yin;Wen Wei(China Academy of Space Technology(Xi′an),Xi′an 710100,China)

机构地区：[1]中国空间技术研究院西安分院,西安710100

出　　处：《电子测量技术》2024年第20期132-139,共8页Electronic Measurement Technology

基　　金：国家重点实验室稳定支持基金(HTKJ2022KL50414)项目资助。

摘　　要：利用参数特征对空间进动锥体进行识别可有效区分真假目标。为获取准确的参数特征,现阶段研究一般围绕宽带雷达所输出的目标高分辨距离像序列开展,但也存在着对雷达带宽要求高、不利用实际工程应用的局限。针对这一问题,提出了一种基于窄带雷达提取目标高分辨特征并完成参数估计的方法。首先建立了目标运动模型,对窄带观测下目标回波调制特性进行分析;在此基础上定义目标伪距离像序列,并利用目标回波中所包含散射中心微多普勒频率与相位信息变化完成了伪距离像序列的提取,根据不同视角观测到的伪距离像序列差异对锥体高度、底面半径及质心位置等目标参数进行估计,并设计了二级剔除结构选出了正确的估计结果;最后开展了基于电磁计算数据的仿真实验。实验结果表明该算法在高信噪比条件下估计精度优于97%,相比传统方法提高超过5%,且在5 dB的信噪比条件下平均参数估计精度仍然优于80%,应用门限较传统算法提高9 dB,说明了所提算法的有效性和稳健性。The recognition of space precession cone by using parameter characteristics can effectively distinguish true and decoy targets.In order to obtain accurate parameter characteristics,the current research generally focuses on the high resolution range profile sequences of the target output by wideband radar,but there are also limitations of high radar bandwidth requirements and no practical engineering applications.To solve this problem,a method based on narrow band radar is proposed to extract high resolution features and complete parameter estimation.Firstly,a target motion model is established to analyze the modulation characteristics of target echo in narrow band observation,and the pseudo-range resolution profile is defined and extracted using the scattering centers′micro-Doppler and phase information,then the micro-motion and structure parameters are estimated using the pseudo-range resolution profile,and the correct estimation result is selected by a two-level pick-out structure.Finally,a simulation experiment based on electromagnetic calculation data is carried out.The implementation results show that the estimation accuracy of the proposed algorithm is better than 97%under the condition of high signal-to-noise ratio,which is 5%higher than that of the traditional method,and the average parameter estimation accuracy is still better than 80%under the condition of 5 dB signal-to-noise ratio,and the application threshold is 9 dB higher than that of the traditional algorithm,indicating the effectiveness and robustness of the proposed algorithm.

关 键 词：微多普勒 窄带雷达 锥体目标 高分辨特征 参数估计 

分 类 号：TN957.52[电子电信—信号与信息处理]