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21 June 2011 Super-resolution techniques for velocity estimation using UWB random noise radar signals
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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.
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Muhammad Dawood, Nafish Quraishi, and Ana V. Alejos "Super-resolution techniques for velocity estimation using UWB random noise radar signals", Proc. SPIE 8021, Radar Sensor Technology XV, 802117 (21 June 2011);

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