Super-Resolution in Position and Velocity Estimation for Short-Range MM-Wave Radar

被引:0
|
作者
Gupta, A. [1 ]
Madhow, U. [1 ]
Arbabian, A. [2 ]
机构
[1] Univ Calif Santa Barbara, ECE Dept, Santa Barbara, CA 93106 USA
[2] Stanford Univ, EE Dept, Stanford, CA 94305 USA
来源
2016 50TH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS | 2016年
基金
美国国家科学基金会;
关键词
TRACKING;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Recently developed super-resolution algorithms have demonstrated performance approaching fundamental estimation-theoretic bounds. These algorithms have significant potential for applications such as vehicular situational awareness using low-cost, short-range millimeter wave radar sensors. In this paper, we show that such algorithms can approach single-sensor estimation-theoretic bounds for range and Doppler estimation. We also investigate, under a simple 2D model, the limits of position and radial velocity estimation performance of one shot estimation and provide insights for array design.
引用
收藏
页码:1144 / 1148
页数:5
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