Title :
Superresolution Doppler Estimation using UWB Random Noise Signals and MUSIC
Author :
Dawood, Muhammad ; Quraishi, N. ; Alejos, A.V.
Author_Institution :
Klipsch Sch. of Electr. & Comput. Eng., New Mexico State Univ., Las Cruces, NM, USA
Abstract :
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.
Keywords :
Fourier transforms; frequency estimation; radar signal processing; signal classification; ultra wideband radar; Fourier transform; UWB random noise radar signals; frequency 1 GHz; superresolution Doppler frequency estimation; superresolution MUSIC algorithm; superresolution multiple signal classification algorithm; ultrawideband random noise radar signals; Delay; Doppler effect; Estimation; Multiple signal classification; Noise; Signal resolution; Ultra wideband radar;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
DOI :
10.1109/TAES.2013.6404106
