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Superresolution Doppler Estimation using UWB Random Noise Signals and MUSIC

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3 Author(s)
Dawood, M. ; Klipsch Sch. of Electr. & Comput. Eng., New Mexico State Univ., Las Cruces, NM, USA ; Quraishi, N. ; Alejos, A.V.

The application of the superresolution multiple signal classification (MUSIC) algorithm is extended to overcome the Doppler frequency estimation limitations due to the Fourier transform- (FT-) based techniques for ultrawideband (UWB) random noise radar signals. Simulated and experimental results are compared for single and multiple moving targets within a range bin, for narrowband (200 MHz) and UWB (1 GHz) noise radar signals. The simulated percentage error in Doppler estimation is parameterized as a function of the velocity ratio of two targets in a given range bin.

Published in:
Aerospace and Electronic Systems, IEEE Transactions on  (Volume:49 ,  Issue: 1 )

Date of Publication: Jan. 2013

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