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首页> 外文期刊>IEEE Transactions on Antennas and Propagation >Radar signature prediction using moment method codes via frequencyextrapolation technique
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Radar signature prediction using moment method codes via frequencyextrapolation technique

机译:通过频率外推技术使用矩量法代码预测雷达信号

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摘要

A frequency extrapolation scheme is developed to efficiently predict radar signatures using moment method codes. The approach is to parameterize the induced current on the target based on a multipath excitation model via the ESPRIT superresolution algorithm. The multiple scattering mechanisms at high frequencies are included in the model to ensure the accuracy of the algorithm. The range profiles for several test targets are calculated to demonstrate the performance of the algorithm. A numerical experiment is conducted to find the possible error sources of the algorithm and determine an upper limit on the frequency extrapolation bandwidth. The algorithm is also extended to generate ISAR images by using the frequency extrapolation in conjunction with the bistatic approximation in the angular dimension. The ISAR image of the benchmark VFY-218 airplane is predicted at 400 MHz and compared against the chamber measurement result. The main scattering features in the measured image are successfully predicted using this approach with very modest computational resources
机译:开发了一种频率外推方案,以使用矩量法代码有效地预测雷达信号。该方法是通过ESPRIT超分辨率算法,基于多路径激励模型对目标上的感应电流进行参数化。模型中包含了高频下的多种散射机制,以确保算法的准确性。计算了几个测试目标的距离轮廓,以证明算法的性能。进行了数值实验,以找到算法的可能误差源,并确定频率外推带宽的上限。该算法还扩展为通过使用频率外推结合角度尺寸中的双基地逼近来生成ISAR图像。基准VFY-218飞机的ISAR图像在400 MHz处预测,并与舱室测量结果进行比较。使用这种方法以非常适度的计算资源就可以成功地预测出被测图像中的主要散射特征

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