基于空域稀疏性的雷达低仰角目标测高

Height Measurement of Low Elevation Radar Target Based on Spatial Sparsity

受地面多径反射的影响,常规单脉冲技术难以用来测量低仰角雷达目标的高度,因此测量低仰角目标的高度在雷达中是一个难题。文中提出了基于阵列接收信号空域稀疏性的低仰角目标测高新方法。该方法利用目标回波的空域稀疏性,首先将测高阵列接收信号进行稀疏表示,转化为压缩感知信号模型,然后用凸优化算法估计目标仰角,进而得到目标高度。雷达实测数据处理表明,该文方法的测量精度较高,显著优于常规单脉冲技术。

Owing to the severe ground multipath reflections the conventional monopulse technique can hardly be applied to measure the height of low elevation radar target,therefore the height measurement of low elevation target is a difficult problem in the radar.A height measurement approach for low elevation target based on spatial sparsity of array receiving signal is presented in this paper.Using the spatial sparsity this approach firstly sparsely expresses the receiving signal of radar array and transfers it to the compressive sensing signal model,then the convex optimization algorithm is employed to estimate the target elevation and further the target height is obtained.The processing of meterwave radar data shows that the measurement precision of the presented method is high and remarkablely better than that of the monopulse technique.