基于多维压缩感知的雷达成像方法研究

Analysis of Radar Imaging Method Based on Multi-dimensional Compressed Sensing

为更好地通过雷达成像来获取目标俯仰、方位以及距离三个维度的信息,在多维压缩感知理论的基础上,建立了三维雷达成像几何模型和信号模型,同时提出一种改进的分段正交匹配追踪算法实现雷达信号的重构。仿真结果表明:改进的分段正交匹配追踪算法可以很好地实现雷达信号重构,并且克服了雷达信号稀疏度未知以及单一的终止条件影响重构效果的缺点,提高了信号的重构准确度。

In order to obtain the better three dimension information of target including pitch,azimuth and distance through radar imaging,the geometric model and signal model of three-dimensional radar imaging are proposed based on the multi-dimensional compressed sensing theory.And an improved stagewise orthogonal matching prusuit(StOMP)algorithm is proposed to complete the radar signal reconstruction.The simulation results indicate that the improved StOMP algorithm can well realize the radar signal reconstruction.The algorithm overcomes the shortcomings of unkown radar signal sparsity and the reconstruction effect which affected by a single termination condition,and improves the refactoring accuracy.