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AN EDGE-PRESERVING STABILIZATION FOR A FAST 3-D IMAGING ALGORITHM WITH A UWB PULSE RADAR

机译:具有UWB脉冲雷达的快速3-D成像算法的边缘保留稳定

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摘要

It is hoped that rescue robots help human lives in the near future. Recently, UWB (Ultra Wide Band) has been standardized in the USA, and it enables us to develop pulse radars with high range resolution. This technology is a promising candidate for the environment measurement for robots. Radar imaging is known as one of ill-posed inverse problems, for which various algorithms have been proposed. Most of them were developed for continuously distributed media such as the ground. Their calculation time is too long because they are based on iterative methods, which is not acceptable for the real-time operation of robots. On the other hand, most of in-house objects have clear boundaries, which enables us to simplify the models. We have already proposed a fast imaging algorithm SEABED for UWB pulse radars, which is based on a reversible transform by utilizing this simple model. The performance of the SEABED algorithms has been investigated only with numerical simulations. In this paper, we experimentally study the performance of the algorithm with a UWB pulse radar experiment system.
机译:希望救援机器人在不久的将来帮助人类生活。最近,UWB(超宽带)在美国已经标准化,使我们能够开发具有高范围分辨率的脉冲雷达。这项技术是机器人环境测量的有希望的候选者。雷达成像被称为不存在的逆问题之一,已经提出了各种算法。其中大多数是用于连续分布的媒体,如地面。他们的计算时间太长,因为它们基于迭代方法,这对于机器人的实时操作是不可接受的。另一方面,大多数内部物体都有明确的边界,这使我们能够简化模型。我们已经提出了一种用于UWB脉冲雷达的快速成像算法,这是通过利用这种简单模型的可逆变换。海底算法的性能仅通过数值模拟进行了研究。在本文中,我们通过UWB脉冲雷达实验系统实验研究算法的性能。

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