天波雷达匹配域处理测高方法目标机动影响分析

Analysis on Matched Field Processing for Maneuvering Target Altitude Estimation with Skywave Over-The-Horizon Radar

  • 摘要: 针对目标高度和飞行速度机动变化引起测高精度下降的问题,建立了一种基于目标机动的天波超视距雷达信号模型,提出了一种改进的机动目标匹配域处理(Maneuvering Target Matched Field Processing,MTMFP)测高算法。该算法首先结合电离层电子密度分布,分析了天波雷达基于微多径的信号传输现象;其次引入目标机动参量(即目标高度变化率和径向加速度),建立了复距离-多普勒信号模型;最后详细分析了天波雷达MTMFP测高算法的估计性能。理论分析及仿真结果表明:基于所建立的天波雷达机动信号模型,可以实现目标高度变化率和径向加速度的联合估计,12次重访后,目标高度估计误差在500m左右。

     

    Abstract: Aimed at the problem of the decline of altitude measurement accuracy caused by the variety of target’s altitude and the maneuvering of target, the Skywave Over-The-Horizon Radar (OTHR) signal model based on maneuvering target is constructed. An improving altitude estimation algorithm of Maneuvering Target Matched Field Processing (MTMFP) is proposed. Firstly, the algorithm analyzes the signal transmission of OTHR based on micro-multipath combined with the electronic density distribution of the ionosphere. Secondly a complex range-doppler signal model with target’s maneuver parameters (i.e. target’s altitude varying rate and radial acceleration) is constructed. Finally, the estimated performance of the MTMFP algorithm is analyzed. The simulation results show that the method could realize the joint estimation of the target’s altitude varying rate and the radial acceleration. The estimation error of the altitude estimation is around 500m within 12 revisits.

     

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