RF Compressed Sensing Based Radar for 2-D Localization and Mapping

Prateek Nallabolu, Changzhi Li
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引用次数: 1

Abstract

This paper presents the simulation results of a radio frequency (RF) compressed sensing (CS) radar for 2-D localization and mapping. In contrast to many existing literatures, this paper deals with the RF front-end compressive sensing, which is achieved by illuminating the target scenario with pseudo random multi-beam radiation patterns. The spatial sparsity of the target frame enables the use of compressed sensing to recover the scene from fewer number of scans compared with a conventional beam scanning radar. Preliminary simulations are performed, and the results of the reconstructed target frame are presented.
基于射频压缩感知的二维定位与测绘雷达
本文给出了一种用于二维定位与测绘的射频压缩感知雷达的仿真结果。与许多现有文献相比,本文研究射频前端压缩感知,该感知通过用伪随机多波束辐射方向图照亮目标场景来实现。与传统的波束扫描雷达相比,目标帧的空间稀疏性使压缩传感能够从更少的扫描次数中恢复场景。进行了初步的仿真,给出了重构后的目标帧的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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