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首页> 外文会议>Conference on Image Processing: Algorithms and Systems III; 20040119-20040121; San Jose,CA; US >Variations of matched filtering for reduced noise amplification
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Variations of matched filtering for reduced noise amplification

机译：匹配滤波的变化形式，可减少噪声放大

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摘要

A variation of the matched spatial filter (MSF) has been developed and tested. It is derived by a power-series expansion of the ideal MSF that, in the absence of background noise, produces a Dirac delta function peak at the detection location on the correlation plane. The motivation for the approximation is to design an MSF that produces a narrow correlation peak with reduced susceptibility to noise amplification in the filtering process. This new filter, which we will call the complement MSF, includes the intrinsic phase information of the reference signal and a magnitude term that can be truncated at any order. Experimental results show that the complement MSF produces correlation peaks that can be controlled by varying the order of approximation, and that these peaks may improve discrimination over classical matched filtering methods such as the familiar cross correlation. In addition, we have exploited the familiar Wiener-Helstrom method for inverse filtering to blend both classical MSFs and complement MSFs of different order for imaging scenarios where the noise power spectrum is known or can be estimated. Preliminary outputs using this technique have shown sharper correlation peaks and better noise floor suppression than yielded by implementing the blended components individually.
机译：已开发并测试了匹配空间滤波器（MSF）的变体。它是由理想MSF的幂级数展开得出的，在没有背景噪声的情况下，理想MSF的幂级数展开会在相关平面上的检测位置产生Dirac德尔塔函数峰值。近似的动机是设计一种MSF，该MSF产生一个窄的相关峰，并且在滤波过程中对噪声放大的敏感性降低。这个新的滤波器，我们称为补数MSF，包括参考信号的固有相位信息和可以任意截断的幅度项。实验结果表明，互补MSF产生了相关峰，可以通过改变近似阶数来控制这些峰，并且这些峰可以改善经典匹配滤波方法（如熟悉的互相关）的辨别力。另外，我们利用了熟悉的Wiener-Helstrom方法进行逆滤波，以混合经典MSF和不同阶数的MSF补码，以用于已知或可以估计噪声功率谱的成像场景。与单独实现混合组件所产生的结果相比，使用这种技术的初步输出显示出更清晰的相关峰和更好的本底噪声抑制。

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