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Proceedings Paper

Super-resolution techniques for velocity estimation using UWB random noise radar signals
Author(s): Muhammad Dawood; Nafish Quraishi; Ana V. Alejos
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Paper Abstract

The Doppler spread pertaining to the ultrawideband (UWB) radar signals from moving target is directly proportional to the bandwidth of the transmitted signal and the target velocity. Using typical FFT-based methods, the estimation of true velocities pertaining to two targets moving with relatively close velocities within a radar range bin is problematic. In this paper, we extend the Multiple Signal Classification (MUSIC) algorithm to resolve targets moving velocities closer to each other within a given range bin for UWB random noise radar waveforms. Simulated and experimental results are compared for various target velocities using both narrowband (200MHz) and wideband (1GHz) noise radar signals, clearly establishing the unbiased and unambiguous velocity estimations using the MUSIC algorithm.

Paper Details

Date Published: 21 June 2011
PDF: 7 pages
Proc. SPIE 8021, Radar Sensor Technology XV, 802117 (21 June 2011); doi: 10.1117/12.884132
Show Author Affiliations
Muhammad Dawood, New Mexico State Univ. (United States)
Nafish Quraishi, New Mexico State Univ. (United States)
Ana V. Alejos, New Mexico State Univ. (United States)
Univ. of Vigo (Spain)

Published in SPIE Proceedings Vol. 8021:
Radar Sensor Technology XV
Kenneth I. Ranney; Armin W. Doerry, Editor(s)

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