论文标题
从1位雷达测量值中进行离网速度估计的速度估算
Going Below and Beyond, Off-the-Grid Velocity Estimation from 1-bit Radar Measurements
论文作者
论文摘要
在本文中，我们建议弥合使用极低的分辨率1位测量值和估计目标参数（例如其速度）之间存在的差距，即通过执行离网估计来实现连续体中存在的差距。为此，对正交匹配追踪（COMP）的连续版本进行了修改，以利用来自简单的多普勒雷达的1位测量值。使用蒙特卡洛模拟，我们表明，尽管采集的分辨率大大降低，但仍可以实现多个目标的速度估计，并且超出了经典的网格中方法。此外，我们从经验上表明，在估计多个目标时，需要在量化之前添加随机且均匀的抖动。
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.
