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Algorithm of the Radar Imaging by Using the Wideband Signals with the Distorted Signal Phases

机译:利用信号相位失真的宽带信号进行雷达成像的算法

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The problem of restoring an image by its Fourier transform is considered when the Fourier transform contains phase distortions. The nature of these distortions and their values are arbitrary. The criterion for the quality of the phase distortion estimates is suggested. It can be used to select the image which is mostly like the true one. The nature of the true image is also arbitrary. The only condition for the true image is that it is real and positive for all the points of the restored area. The other condition for the task is that the recovered image is calculated as the absolute value of the inverse Fourier transform. The algorithm for the search of the compensating phases satisfying the criterion is not considered for the general case; however, the task of the radar imaging based on the wideband signal and the time synthesis of the aperture is treated in detail. The physical basis for the task is a wideband pulse radar signal reflected by a moving object. As a result, a two-dimensional aperture is synthesized along the range, due to the super resolution, and along the velocity, according to the motion of the object. The radar signals are received by a single receiver. The image is reconstructed on the basis of these signals by using the maximum likelihood technique. The method uses the coherent processing of the signals. In practice, the coherence can be destroyed (due to some atmospheric turbulence or equipment instability, due to some inaccuracy in defining the motion). We assume that the objects to be observed are located at the far zone. For this task and on the basis of the suggested criterion, we develop an approximate algorithm for searching the best compensating phases in the radar signal. The quality of the images is tested with the help of simulation.
机译:当傅立叶变换包含相位失真时,会考虑通过傅立叶变换恢复图像的问题。这些失真的性质及其值是任意的。建议了相位失真估计质量的标准。它可以用来选择最像真实图像的图像。真实图像的性质也是任意的。真实图像的唯一条件是,对于还原区域的所有点而言,它都是真实且正的。该任务的另一个条件是将恢复的图像计算为傅里叶逆变换的绝对值。一般情况下,不考虑寻找满足标准的补偿相位的算法。然而,基于宽带信号和孔径时间合成的雷达成像任务得到了详细处理。该任务的物理基础是被移动物体反射的宽带脉冲雷达信号。结果,由于物体的运动,由于超分辨率,沿该范围合成了二维孔径,并沿速度合成了二维孔径。雷达信号由单个接收器接收。通过使用最大似然技术,基于这些信号重建图像。该方法使用信号的相干处理。在实践中,相干性可能会被破坏(由于某些大气湍流或设备不稳定,原因是定义运动时有些不准确)。我们假设要观察的物体位于远处。为此,在建议的标准的基础上,我们开发了一种近似算法,用于搜索雷达信号中的最佳补偿相位。在模拟的帮助下测试图像的质量。

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