Generalized DFT based partial matched filter bank for doppler estimation

Yuewen Wang, Ali N. Akansu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Partial Matched Filter Bank (PMFB) with orthogonality is a method to sample the phase functions of the received radar signals offering robust Doppler tolerance. Generalized Discrete Fourier Transform (GDFT) with nonlinear phase functions provides engineering flexibility over the traditional Discrete Fourier Transform (DFT). The design freedom of exploiting the entire phase space of constant modulus orthogonal basis brings significant value for the minimization of waveform auto- and cross-correlations that is not possible in DFT. In this paper, we propose the use of GDFT waveforms with optimized correlations in a PMFB framework. It is shown that GDFT based PMFB performs quite promising for Doppler estimation in radar systems.

Original languageEnglish (US)
Title of host publication2012 46th Annual Conference on Information Sciences and Systems, CISS 2012
DOIs
StatePublished - Nov 12 2012
Event2012 46th Annual Conference on Information Sciences and Systems, CISS 2012 - Princeton, NJ, United States
Duration: Mar 21 2012Mar 23 2012

Publication series

Name2012 46th Annual Conference on Information Sciences and Systems, CISS 2012

Other

Other2012 46th Annual Conference on Information Sciences and Systems, CISS 2012
CountryUnited States
CityPrinceton, NJ
Period3/21/123/23/12

All Science Journal Classification (ASJC) codes

  • Information Systems

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