An OFDM-based waveform separation approach for MIMO-SAR

Lilong Qin; Sergiy A. Vorobyov; Zhen Dong

doi:10.1109/CAMSAP.2015.7383752

An OFDM-based waveform separation approach for MIMO-SAR

Lilong Qin, Sergiy A. Vorobyov, Zhen Dong

Sergiy Vorobyov Group

National University of Defense Technology

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference article in proceedings › Scientific › vertaisarvioitu

3 Sitaatiot (Scopus)

Abstrakti

The waveform separation based on matched filtering leads to the cross correlation interference, which deteriorates the performance of multiple-input multiple-output (MIMO) radar system. This paper investigates the performance of a waveform separation approach employing a novel orthogonal frequency division multiplexing scheme for MIMO synthetic aperture radar. The approach enables to separate the waveforms perfectly even though the waveforms are on common spectral support. By means of theoretical analysis confirmed also by simulations, we show that the proposed scheme decreases sidelobe ratio. Thus, the high-quality imaging can be achieved.

Alkuperäiskieli	Englanti
Otsikko	2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015
Kustantaja	IEEE
Sivut	125-128
Sivumäärä	4
ISBN (painettu)	9781479919635
DOI - pysyväislinkit	https://doi.org/10.1109/CAMSAP.2015.7383752
Tila	Julkaistu - 14 tammik. 2016
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing - Cancun, Meksiko Kesto: 13 jouluk. 2015 → 16 jouluk. 2015 Konferenssinumero: 6 http://inspire.rutgers.edu/camsap2015/

Workshop

Workshop	IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing
Lyhennettä	CAMSAP
Maa/Alue	Meksiko
Kaupunki	Cancun
Ajanjakso	13/12/2015 → 16/12/2015
www-osoite	http://inspire.rutgers.edu/camsap2015/

Tutkimusalat

Waveform separation, synthetic aperture radar, multipleinput multipleoutput radar, orthogonal frequency division multiplexing

Pääsy asiakirjaan

10.1109/CAMSAP.2015.7383752

Muut tiedostot ja linkit

Link to publication in Scopus

Siteeraa tätä

@inproceedings{fde0a7c7915245ebb50609b586504124,

title = "An OFDM-based waveform separation approach for MIMO-SAR",

abstract = "The waveform separation based on matched filtering leads to the cross correlation interference, which deteriorates the performance of multiple-input multiple-output (MIMO) radar system. This paper investigates the performance of a waveform separation approach employing a novel orthogonal frequency division multiplexing scheme for MIMO synthetic aperture radar. The approach enables to separate the waveforms perfectly even though the waveforms are on common spectral support. By means of theoretical analysis confirmed also by simulations, we show that the proposed scheme decreases sidelobe ratio. Thus, the high-quality imaging can be achieved.",

keywords = "Waveform separation, synthetic aperture radar, multipleinput multipleoutput radar, orthogonal frequency division multiplexing, Waveform separation, synthetic aperture radar, multipleinput multipleoutput radar, orthogonal frequency division multiplexing, Waveform separation, synthetic aperture radar, multipleinput multipleoutput radar, orthogonal frequency division multiplexing",

author = "Lilong Qin and Vorobyov, {Sergiy A.} and Zhen Dong",

year = "2016",

month = jan,

day = "14",

doi = "10.1109/CAMSAP.2015.7383752",

language = "English",

isbn = "9781479919635",

pages = "125--128",

booktitle = "2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015",

publisher = "IEEE",

address = "United States",

note = "IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP ; Conference date: 13-12-2015 Through 16-12-2015",

url = "http://inspire.rutgers.edu/camsap2015/",

}

Qin, L, Vorobyov, SA & Dong, Z 2016, An OFDM-based waveform separation approach for MIMO-SAR. julkaisussa 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015., 7383752, IEEE, Sivut 125-128, IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, Cancun, Meksiko, 13/12/2015. https://doi.org/10.1109/CAMSAP.2015.7383752

An OFDM-based waveform separation approach for MIMO-SAR. / Qin, Lilong; Vorobyov, Sergiy A.; Dong, Zhen.
2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015. IEEE, 2016. s. 125-128 7383752.

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference article in proceedings › Scientific › vertaisarvioitu

TY - GEN

T1 - An OFDM-based waveform separation approach for MIMO-SAR

AU - Qin, Lilong

AU - Vorobyov, Sergiy A.

AU - Dong, Zhen

N1 - Conference code: 6

PY - 2016/1/14

Y1 - 2016/1/14

N2 - The waveform separation based on matched filtering leads to the cross correlation interference, which deteriorates the performance of multiple-input multiple-output (MIMO) radar system. This paper investigates the performance of a waveform separation approach employing a novel orthogonal frequency division multiplexing scheme for MIMO synthetic aperture radar. The approach enables to separate the waveforms perfectly even though the waveforms are on common spectral support. By means of theoretical analysis confirmed also by simulations, we show that the proposed scheme decreases sidelobe ratio. Thus, the high-quality imaging can be achieved.

AB - The waveform separation based on matched filtering leads to the cross correlation interference, which deteriorates the performance of multiple-input multiple-output (MIMO) radar system. This paper investigates the performance of a waveform separation approach employing a novel orthogonal frequency division multiplexing scheme for MIMO synthetic aperture radar. The approach enables to separate the waveforms perfectly even though the waveforms are on common spectral support. By means of theoretical analysis confirmed also by simulations, we show that the proposed scheme decreases sidelobe ratio. Thus, the high-quality imaging can be achieved.

KW - Waveform separation, synthetic aperture radar, multipleinput multipleoutput radar, orthogonal frequency division multiplexing

UR - http://www.scopus.com/inward/record.url?scp=84963795147&partnerID=8YFLogxK

U2 - 10.1109/CAMSAP.2015.7383752

DO - 10.1109/CAMSAP.2015.7383752

M3 - Conference article in proceedings

SN - 9781479919635

SP - 125

EP - 128

BT - 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015

PB - IEEE

T2 - IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing

Y2 - 13 December 2015 through 16 December 2015

ER -

An OFDM-based waveform separation approach for MIMO-SAR

Abstrakti

Workshop

Tutkimusalat

Pääsy asiakirjaan

Muut tiedostot ja linkit

Sormenjälki

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