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Closed-Form Mismatched Filter Synthesis for Complementary Range Response

机译:互补距离响应的闭式不匹配滤波器合成

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The combined response of a pair of complementary waveforms has zero range sidelobes and could significantly improve synthetic aperture radar (SAR) image quality by reducing multiplicative noise. However, complementary waveforms may not be practical for SAR imaging for reasons such as Doppler tolerance and unimodular waveform constraints. By using mismatched filters to achieve either a complementary or near-complementary response, two or more practical waveforms could be employed and SAR image quality improved. A closed-form approach was developed that calculates mismatched filters so that the coherent sum of the range responses from each waveform and its corresponding mismatched filter is complementary. A second approach reduced sidelobes while retaining a frequency response close to the waveforms' frequency responses. Images processed using X-band radar data collected under the Air Force Gotcha program exhibited improvements in image quality over those processed using matched filters. The closed-form approach is presented for both complementary and reduced-sidelobe mismatched filters and image quality is quantified. The approach developed in this work offers improved image quality, is suitable for near real-time operation, and is independent of the waveforms.
机译:一对互补波形的组合响应具有零范围旁瓣,可以通过减少乘法噪声来显着改善合成孔径雷达(SAR)图像质量。但是,由于诸如多普勒容差和单模波形约束之类的原因,互补波形可能不适用于SAR成像。通过使用不匹配的滤波器来实现互补或接近互补的响应,可以采用两个或多个实际波形,并且可以提高SAR图像质量。开发了一种封闭形式的方法,该方法计算不匹配的滤波器,以使来自每个波形及其相应的不匹配滤波器的范围响应的相干和互补。第二种方法减少旁瓣,同时保持接近波形的频率响应的频率响应。使用空军Gotcha计划收集的X波段雷达数据处理过的图像与使用匹配滤镜处理过的图像相比,图像质量有所提高。提出了针对互补和减小旁瓣失配滤波器的闭式方法,并对图像质量进行了量化。这项工作中开发的方法提供了改进的图像质量,适用于近实时操作,并且与波形无关。

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