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

Volume

49

Issue

1

fYear

2013

fDate

Jan. 2013

Firstpage

325

Lastpage

340

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;

fLanguage

English

Journal_Title

Aerospace and Electronic Systems, IEEE Transactions on

Publisher

ieee

ISSN

0018-9251

Type

jour

DOI

10.1109/TAES.2013.6404106

Filename

6404106