Generalized DFT waveforms for MIMO radar

Yuewen Wang; Ali N. Akansu; Alex Haimovich

doi:10.1109/SAM.2012.6250495

Generalized DFT waveforms for MIMO radar

Yuewen Wang, Ali N. Akansu, Alex Haimovich

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Scopus citations

Abstract

Recently, the Generalized Discrete Fourier Transform (GDFT) with nonlinear phase was introduced to improve the traditional Discrete Fourier Transform (DFT). We take advantage of the phase shaping function (PSF) of GDFT framework to optimize auto- and cross-correlation properties of OFDM frames used to generate radar waveforms. The superior performance of the GDFT MIMO radar waveforms over multifrequency complementary phase coded (MCPC) and Oppermann code families are presented in this paper. GDFT MIMO radar waveforms may be employed in the future as an efficient upgrade to the DFT based technologies.

Original language	English (US)
Title of host publication	2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, SAM 2012
Pages	301-304
Number of pages	4
DOIs	https://doi.org/10.1109/SAM.2012.6250495
State	Published - 2012
Event	2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, SAM 2012 - Hoboken, NJ, United States Duration: Jun 17 2012 → Jun 20 2012

Publication series

Name	Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
ISSN (Electronic)	2151-870X

Other

Other	2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, SAM 2012
Country/Territory	United States
City	Hoboken, NJ
Period	6/17/12 → 6/20/12

All Science Journal Classification (ASJC) codes

Signal Processing
Control and Systems Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/SAM.2012.6250495

Cite this

@inproceedings{7e36084a9e2d4b489e988a61084c66c4,

title = "Generalized DFT waveforms for MIMO radar",

abstract = "Recently, the Generalized Discrete Fourier Transform (GDFT) with nonlinear phase was introduced to improve the traditional Discrete Fourier Transform (DFT). We take advantage of the phase shaping function (PSF) of GDFT framework to optimize auto- and cross-correlation properties of OFDM frames used to generate radar waveforms. The superior performance of the GDFT MIMO radar waveforms over multifrequency complementary phase coded (MCPC) and Oppermann code families are presented in this paper. GDFT MIMO radar waveforms may be employed in the future as an efficient upgrade to the DFT based technologies.",

author = "Yuewen Wang and Akansu, {Ali N.} and Alex Haimovich",

year = "2012",

doi = "10.1109/SAM.2012.6250495",

language = "English (US)",

isbn = "9781467310710",

series = "Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop",

pages = "301--304",

booktitle = "2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, SAM 2012",

note = "2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, SAM 2012 ; Conference date: 17-06-2012 Through 20-06-2012",

}

Wang, Y, Akansu, AN & Haimovich, A 2012, Generalized DFT waveforms for MIMO radar. in 2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, SAM 2012., 6250495, Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop, pp. 301-304, 2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, SAM 2012, Hoboken, NJ, United States, 6/17/12. https://doi.org/10.1109/SAM.2012.6250495

Generalized DFT waveforms for MIMO radar. / Wang, Yuewen; Akansu, Ali N.; Haimovich, Alex.
2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, SAM 2012. 2012. p. 301-304 6250495 (Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Generalized DFT waveforms for MIMO radar

AU - Wang, Yuewen

AU - Akansu, Ali N.

AU - Haimovich, Alex

PY - 2012

Y1 - 2012

N2 - Recently, the Generalized Discrete Fourier Transform (GDFT) with nonlinear phase was introduced to improve the traditional Discrete Fourier Transform (DFT). We take advantage of the phase shaping function (PSF) of GDFT framework to optimize auto- and cross-correlation properties of OFDM frames used to generate radar waveforms. The superior performance of the GDFT MIMO radar waveforms over multifrequency complementary phase coded (MCPC) and Oppermann code families are presented in this paper. GDFT MIMO radar waveforms may be employed in the future as an efficient upgrade to the DFT based technologies.

AB - Recently, the Generalized Discrete Fourier Transform (GDFT) with nonlinear phase was introduced to improve the traditional Discrete Fourier Transform (DFT). We take advantage of the phase shaping function (PSF) of GDFT framework to optimize auto- and cross-correlation properties of OFDM frames used to generate radar waveforms. The superior performance of the GDFT MIMO radar waveforms over multifrequency complementary phase coded (MCPC) and Oppermann code families are presented in this paper. GDFT MIMO radar waveforms may be employed in the future as an efficient upgrade to the DFT based technologies.

UR - http://www.scopus.com/inward/record.url?scp=84867217978&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84867217978&partnerID=8YFLogxK

U2 - 10.1109/SAM.2012.6250495

DO - 10.1109/SAM.2012.6250495

M3 - Conference contribution

AN - SCOPUS:84867217978

SN - 9781467310710

T3 - Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop

SP - 301

EP - 304

BT - 2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, SAM 2012

T2 - 2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, SAM 2012

Y2 - 17 June 2012 through 20 June 2012

ER -

Generalized DFT waveforms for MIMO radar

Abstract

Publication series

Other

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this