1. 海军航空工程学院信息融合研究所,山东,烟台,264001
2. 海军航空工程学院科研部,山东,烟台,264001
3. 海军航空工程学院信息融合研究所,山东,烟台,264001
4. 海军航空工程学院科研部,山东,烟台,264001
网络出版:2016-04-25,
纸质出版:2016
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张翔宇, 王国宏, 宋振宇, 等. LFM雷达对临近空间高超声速目标的跟踪研究[J]. 电子学报, 2016,44(4):846-853.
ZHANG Xiang-yu, WANG Guo-hong, SONG Zhen-yu, et al. Tracking of Hypersonic Target in Near-Space with LFM Radar[J]. Acta Electronica Sinica, 2016, 44(4): 846-853.
张翔宇, 王国宏, 宋振宇, 等. LFM雷达对临近空间高超声速目标的跟踪研究[J]. 电子学报, 2016,44(4):846-853. DOI: 10.3969/j.issn.0372-2112.2016.04.013.
ZHANG Xiang-yu, WANG Guo-hong, SONG Zhen-yu, et al. Tracking of Hypersonic Target in Near-Space with LFM Radar[J]. Acta Electronica Sinica, 2016, 44(4): 846-853. DOI: 10.3969/j.issn.0372-2112.2016.04.013.
针对临近空间高超声速目标跟踪的问题
提出了一种ECEF坐标系下基于径向速度补偿和相邻时刻目标量测对消处理的高超声速目标跟踪算法.首先
充分分析了目标高超声速运动对雷达探测跟踪的影响
并在此基础上合理构建了目标高超声速运动下的量测模型
以避免模型失配所引起的滤波发散问题;其次
利用解模糊处理后的径向速度估计对目标高超声速运动引起的高动态偏差做近似补偿
以将问题转换为低系统偏差下的状态估计问题
最后
通过基于相邻时刻目标量测对消处理的单雷达量测方程构建
可有效回避低系统偏差存在下的航迹关联问题
进而实现临近空间高超声速目标的可靠跟踪.仿真结果表明
与现有的临近空间目标跟踪算法相比
该算法具有较高的定位跟踪精度.
To improve the tracking accuracy of hypersonic target in near-space
the effect of target hypersonic movement on radar detection and tracking is analyzed
and a hypersonic target tracking algorithm is proposed based on radial velocity compensation and cancellation processing of conjoint measurements under the ECEF coordinate.Firstly
based on the analysis of effect of target hypersonic movement
measurement model is constructed to reduce the filter divergence which is caused by model mismatch.Then
the high dynamic biases due to the target hypersonic movement are approximately compensated through radial velocity estimation with ambiguity solution
to achieve the target tracking with low systematic biases in near space.Finally
the measurement equation of single radar is constructed to further achieve the robust tracking of the near-space hypersonic target
and the track association problem with lower systematic biases can be avoided at the same time.Simulation results show that near-space target tracking can be finished more effectively than existing methods by using the proposed algorithm.
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