摘要: |
反导预警与空间监视雷达通常采用高频段、大脉宽探测远距离目标,此时距离多普勒耦合对于雷达精确测距有较大影响。同时,距离多普勒耦合的准确修正是稳定跟踪目标的必要条件,然而传统的处理方法不能适用于弹道目标等高机动目标的准确处理。本文提出了基于多普勒耦合估计的弹道目标高精度测距方法:首先采用旁路速度-加速度估计方法求解目标的径向速度,对目标测量距离进行距离多普勒耦合修正,再进行IMM-UKF滤波完成目标距离估计。该方法具有以下优势:利用当前帧的测量数据,同时考虑了目标径向加速度对于耦合的影响,提高了距离和速度的估计精度;相比跟踪时增加测速波形的方法,节约了雷达的资源,同时避免了速度测量与航迹误关联的问题;距离和速度的精确估计能够提升航迹关联成功率。仿真实验中与传统的距离多普勒耦合处理方法进行了比较,实验结果显示该方法大幅提高了雷达测距的精度。 |
关键词: 距离多普勒耦合 速度估计 交互多模型 不敏卡尔曼滤波 |
DOI:DOI:10.3969/j.issn.1672-2337.2022.03.009 |
分类号:TN959;TJ761.3 |
基金项目: |
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Ballistic Target Ranging Method Based on Doppler Coupling Estimation |
YU Qiuye, XU Jincheng, HE Rui, TANG Yunlong
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1. The 38th Research Institute of China Electronics Technology Group Corporation, Hefei 230088, China;2. Unit 32035 of the PLA, Xi’an 710600, China;3. Aerospace System Department of Strategic Support Force, Beijing 100193, China
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Abstract: |
Antimissile and space surveillance radars usually use high frequency band and large pulse width to detect long-range targets. At this time, range Doppler coupling has a great impact on accurate ranging. The accurate correction of range Doppler coupling is a necessary condition for stable target tracking. However, the traditional processing methods cannot be applied to the accurate processing of high maneuvering targets such as ballistic targets. In this paper, a high-precision ranging method of ballistic target based on Doppler coupling estimation is proposed. Firstly, the bypass velocity acceleration estimation method is used to solve the radial velocity of the target, and the range Doppler coupling correction is carried out for the target measurement range. Then the IMM-UKF filtering is carried out to complete the target range estimation. This method has the following advantages: using the measurement data of the current frame and considering the influence of the target radial acceleration on the coupling, it can improve the detection accuracy of distance and velocity; compared with the method of inserting velocity measurement waveform, it saves scheduling resources and avoids the problem of false correlation between velocity measurement and track; accurate estimation of distance and speed can improve the success rate of track association. The simulation results show that the proposed method can greatly improve the accuracy of radar ranging compared with the traditional range Doppler coupling processing method. |
Key words: range Doppler coupling speed estimate interacting multiple model unscented Kalman filter |