Generalized DFT based partial matched filter bank for doppler estimation
Document Type
Conference Proceeding
Publication Date
11-12-2012
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. © 2012 IEEE.
Identifier
84868575739 (Scopus)
ISBN
[9781467331401]
Publication Title
2012 46th Annual Conference on Information Sciences and Systems Ciss 2012
External Full Text Location
https://doi.org/10.1109/CISS.2012.6310811
Recommended Citation
Wang, Yuewen and Akansu, Ali N., "Generalized DFT based partial matched filter bank for doppler estimation" (2012). Faculty Publications. 18024.
https://digitalcommons.njit.edu/fac_pubs/18024
