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首页> 外文期刊>Radar, Sonar & Navigation, IET >System parameter optimisation for moving target detection and imaging in multi-band synthetic aperture radar based on genetic algorithm
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System parameter optimisation for moving target detection and imaging in multi-band synthetic aperture radar based on genetic algorithm

机译:基于遗传算法的多波段合成孔径雷达运动目标检测与成像系统参数优化

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摘要

To overcome the shortcomings of the conventional moving target detection method in single-channel synthetic aperture radar (SAR), this study proposes a novel method for moving target detection in single-channel multi-band SAR. In this method, according to the detectable velocity in different bands, the genetic algorithm is applied to optimise the choice of radar band parameters, for example, wavelength and pulse repetition frequency. With the obtained optimal parameter combinations, the multi-band SAR system could achieve the highest velocity detection rate and the maximal bands utilisation rate. Then, moving target detection, imaging and location could be accomplished with the radon transform and the deramp method. Finally, simulation results are presented to demonstrate the effectiveness and feasibility of the proposed method.
机译:为克服传统的单通道合成孔径雷达(SAR)运动目标检测方法的不足,提出了一种新的单通道多波段SAR运动目标检测方法。该方法根据不同频段的可检测速度,应用遗传算法优化了雷达频段参数的选择,例如波长和脉冲重复频率。利用获得的最优参数组合,多波段SAR系统可以获得最高的速度检测率和最大的频带利用率。然后,可以通过radon变换和deramp方法完成运动目标的检测,成像和定位。最后,仿真结果表明了该方法的有效性和可行性。

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