Danziger Yochay
Rafael Advanced Defense Systems Limited, PO Box 2250, Division 400, Haifa, Israel 31021.
Appl Opt. 2010 Jun 10;49(17):3330-7. doi: 10.1364/AO.49.003330.
Imaging systems designed for point target detection and 3D reconstruction must be filtered in order to maximize signal-to-noise ratio and minimize position expectation error. An optimal whitening matched filter (WMF) is derived based on expected spatial target distribution and system colored noise. The expected noise is derived as a weighted combination of clutter aliasing, target aliasing, and detector noise. Further optimization of system performance is achieved by modification of the optical point spread function (PSF), so a sampling-balanced operation is achieved where all noise components are comparable. The improved performance of the optimized system is calculated and compared to the performance of other systems using other known linear postfilters with various optical PSF widths. It is shown that the WMF in a sampling-balanced system is a robust configuration that needs only minor modifications when scenario parameters are varied.
为点目标检测和三维重建设计的成像系统必须进行滤波，以最大化信噪比并最小化位置期望误差。基于预期的空间目标分布和系统有色噪声，推导了一种最优白化匹配滤波器（WMF）。预期噪声是杂波混叠、目标混叠和探测器噪声的加权组合。通过修改光学点扩散函数（PSF）实现系统性能的进一步优化，从而实现所有噪声分量都可比的采样平衡操作。计算了优化系统的改进性能，并与使用具有各种光学PSF宽度的其他已知线性后置滤波器的其他系统的性能进行比较。结果表明，采样平衡系统中的WMF是一种稳健的配置，当场景参数变化时只需进行微小修改。
