雷达极化调控谱分辨与虚拟极化优化方法

    Polarization Modulation Spectral Resolution and Virtual Polarization Optimizationfor Radar

    • 摘要: 为提升雷达对邻近目标的分辨能力,挖掘极化维度信息优势,本文从极化雷达信号模型出发,基于极化域变焦理论提出一种极化调控谱方法,通过优化虚拟发射极化增大目标间极化差异,进而实现邻近目标参数的有效估计。理论推导给出了影响分辨性能的关键因素,仿真结果表明目标信杂噪比与极化差异是决定分辨性能的主要因素。外场试验中,利用单艘锚定科考船的全极化距离-多普勒数据进行验证。结果表明,在96个脉冲条件下,所提方法能够增强扩展船只目标内部邻近散射分量的峰谷分离程度,并在典型距离单元上呈现接近256个脉冲常规处理结果的分离趋势。上述结果验证了极化调控谱和虚拟极化优化方法用于雷达邻近分量分辨增强的可行性。

       

      Abstract: To enhance radar resolution capability for closely spaced targets and to exploit the information advantage of the polarization dimension, this paper starts from the polarimetric radar signal model and proposes a polarization modulation spectral method based on the polarization modulation theory. By optimizing the virtual transmitted polarization, the polarization difference between targets is enlarged, thereby enabling effective estimation of the parameters of closely spaced targets. Theoretical derivation reveals the key factors affecting resolution performance. Simulation results show that the target signal-to-clutter-plus-noise ratio and the polarization difference between targets are the main factors determining resolution performance. The field experiment using fully polarimetric range-Doppler data of an anchored research vessel shows that, with 96 pulses, the proposed method improves the peak-valley separation of adjacent scattering components within the extended vessel target and exhibits a separation trend close to that obtained by conventional processing with 256 pulses at representative range cells. These results verify the feasibility of polarization modulation spectrum and virtual polarization optimization for radar resolution enhancement.

       

    /

    返回文章
    返回