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雷达成象是数据不完整且含噪声情况下图象重建的一个特例。在其它领域,迭代重建算法已被成功地用来提高成象质量。本文将讨论迭代算法在雷达成象中的应用。首先,我们将给出雷达成象的离散模型,并把迭代算法用于雷达成象。然后我们将通过计算机模拟来验证迭代算法的有效性,并指出:尽管迭代算法一般被认为是非常费时的,而实际上只要对算法做一些合理的改进,将其实时实现并非不可能。
Radar imaging is a special case of image reconstruction with incomplete data and noise. In other areas, iterative reconstruction algorithms have been used successfully to improve image quality. This article will discuss the application of iterative algorithms in radar imaging. First, we will give a discrete model of radar imaging and use the iterative algorithm for radar imaging. Then we will verify the validity of the iterative algorithm by computer simulation and point out that although the iterative algorithm is generally considered to be very time-consuming, in fact, as long as some reasonable improvements to the algorithm, its real-time implementation is not impossible.