距离扩展目标极化检测的比较研究

Comparative Study of Polarimetric Detection of Range-extended Targets

  • 摘要: 针对非起伏目标和瑞利起伏目标的单脉冲检测问题,建立了距离扩展目标的极化检测模型,导出了相应的极化检测器及其检测性能的解析表达式。在此基础上研究了雷达带宽、目标回波极化和目标径向尺度估计误差对检测性能的影响,并将本文的检测算法与二进制积累极化检测算法进行了比较研究。主要结论有:在特定的信噪比条件下,存在最佳带宽使得瑞利目标检测概率最大;窄带条件下确定极化和随机极化目标的检测性能差异较为显著,大带宽条件下二者检测性能相差约13dB;相对于过高估计目标径向尺度的情况,瑞利目标检测性能对目标径向尺度的过低估计更为敏感;二进制积累检测性能一般不及径向积累检测,但其性能差异较小。

     

    Abstract: Polarimetric detection models are established for monopulse detection of rangeextended nonfluctuation targets and Rayleigh fluctuation targets. The corresponding polarimetric detectors are derived, and their detection performance is analytically expressed. Then the relationships between the detection performance and the radar bandwidth, polarization of the target’s echoes, and estimation error of the target’s radial scale are theoretically analyzed, and the detection algorithms proposed in this paper are compared with the polarimetric detection algorithm using binary integration. The results show that, an optimal bandwidth maximizing the detection probability of a Rayleigh target can be found for a given signal-to-noise ratio. The detection performance difference of deterministicallypolarized targets and randomlypolarized targets is remarkable when the radar bandwidth is narrow. When the radar bandwidth is wide, the detection of a randomlypolarized target has a performance loss of about 1.3dB in contrast with the detection of a deterministicallypolarized target. For a Rayleigh target, the detection performance is more sensitive to the underestimate than to the overestimate of the target’s radial scale. The detection performance of binary integration is generally inferior to the detection performance of radial integration, but the performance difference between them is relatively small.

     

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