A Two-Stage Sparsity-Based Method for Location and Doppler Estimation in Bistatic Automotive Radar

A. Moussa, Wei Liu
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Abstract

Recently, sparse representation of radar signals has attracted a lot of interest when source signals carry a sparse structure, typically used for direction-of-arrival (DOA) estimation. It offers the ability of manipulating the signal model to fit the application’s needs and it may have super-resolution capability. However, signals carrying range and Doppler information can also have a sparse representation, which is an area of research that is often overlooked. In this paper, we propose a method for two-dimensional (2D)-localisation and Doppler estimation in a bistatic automotive application, by adopting the concept of group-sparsity (GS). We show through computer simulations the success of the proposed method in outperforming the state-of-art.
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基于两级稀疏度的双基地汽车雷达定位与多普勒估计方法
近年来,雷达信号的稀疏表示引起了人们的极大兴趣,当源信号带有稀疏结构时,通常用于到达方向(DOA)估计。它提供了操纵信号模型以适应应用程序需求的能力,并且可能具有超分辨率能力。然而,携带距离和多普勒信息的信号也可能具有稀疏表示,这是一个经常被忽视的研究领域。在本文中,我们提出了一种双基地汽车应用中二维定位和多普勒估计的方法,该方法采用群稀疏(GS)的概念。我们通过计算机模拟表明,所提出的方法的成功优于目前的技术水平。
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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