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.
Superresolution Doppler Estimation using UWB Random Noise Signals and MUSIC
IEEE Transactions on Aerospace and Electronic Systems ; 49 , 1 ; 325-340
01.01.2013
9970661 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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