Super-resolution in position and velocity estimation for short-range mm-wave radar
Range-Doppler response of 3 targets. NOMP based super-resolution algorithms achieves higher accuracy and approaches the Cramer Rao Bound in the mid to low SNR regime.
Abstract
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.
Type
Publication
In 2016 50th Asilomar Conference on Signals, Systems and Computers
