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

机译：用于2-D定位和映射的RF压缩感测的基于雷达

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摘要

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.
机译：本文介绍了用于2-D定位和映射的射频（RF）压缩感测（CS）雷达的仿真结果。与许多现有文献相比，本文涉及RF前端压缩感测，其通过用伪随机多光束辐射图案照射目标场景来实现。与传统光束扫描雷达相比，目标帧的空间稀疏性使得使用压缩感测量从更少数量的扫描中恢复场景。执行初步模拟，并提出了重建目标帧的结果。

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