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

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

3 Citations (Scopus)

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.

Original language	English
Title of host publication	2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015
Publisher	IEEE
Pages	125-128
Number of pages	4
ISBN (Print)	9781479919635
DOIs	https://doi.org/10.1109/CAMSAP.2015.7383752
Publication status	Published - 14 Jan 2016
MoE publication type	A4 Conference publication
Event	IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing - Cancun, Mexico Duration: 13 Dec 2015 → 16 Dec 2015 Conference number: 6 http://inspire.rutgers.edu/camsap2015/

Workshop

Workshop	IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing
Abbreviated title	CAMSAP
Country/Territory	Mexico
City	Cancun
Period	13/12/2015 → 16/12/2015
Internet address	http://inspire.rutgers.edu/camsap2015/

Keywords

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

Access to Document

10.1109/CAMSAP.2015.7383752

Cite this

@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. in 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015., 7383752, IEEE, pp. 125-128, IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, Cancun, Mexico, 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. p. 125-128 7383752.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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

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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

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Workshop

Keywords

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