Going Below and Beyond Off-the-Grid Velocity Estimation from 1-bit Radar Measurements

被引:0
|
作者
de Galland, Gilles Monnoyer [1 ]
Feuillen, Thomas [1 ]
Vandendorpe, Luc [1 ]
Jacques, Laurent [2 ]
机构
[1] ELEN, Louvain, Belgium
[2] UCLouvain, ICTEAM, INMA, Louvain, Belgium
关键词
Radar; compressive sensing; one-bit; off-the-grid; continuous matching pursuit;
D O I
10.1109/RadarConf2147009.2021.9454982
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper we propose to bridge the gap between using extremely low resolution 1-bit measurements and estimating targets' parameters, such as their velocities, that exist in a continuum, i.e., by performing Off-the-Grid estimation. To that end, a Continuous version of Orthogonal Matching Pursuit (COMP) is modified in order to leverage the 1-bit measurements coming from a simple Doppler Radar. Using Monte-Carlo simulations, we show that although the resolution of the acquisition is dramatically reduced, velocity estimation of multiple targets can still be achieved and reaches performances beyond classic On-the-Grid methods. Furthermore, we show empirically that adding a random and uniform dithering before the quantization is necessary when estimating more than one target.
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页数:6
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