Sub-Nyquist Collocated MIMO Radar in Time and Space

David Cohen; Deborah Cohen; Yonina C. Eldar; Alexander M. Haimovich

doi:10.1109/RADAR.2016.7485160

Sub-Nyquist Collocated MIMO Radar in Time and Space

David Cohen
, Deborah Cohen
, Yonina C. Eldar
, Alexander M. Haimovich

Technion - Israel Institute of Technology

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

Abstract

Multiple input multiple output (MIMO) radar exhibits several advantages with respect to traditional monostatic radar by exploiting transmit waveform diversity. Achieving high resolution requires a large number of transmit and receive antennas. In addition, the digital processing is performed on samples of the received signal at its Nyquist rate, which can be high. Overcoming the rate bottleneck, sub-Nyquist sampling methods have been proposed that break the link between monostatic radar signal bandwidth and sampling rate. In this work, we extend theses methods to MIMO radar and apply the Xampling framework both in the time and spatial domains, achieving reduction in the number of deployed antennas and the number of samples per receiver, without degrading the time and spatial resolutions.

Original language	English GB
Title of host publication	2016 IEEE Radar Conference (RadarConf)
Pages	515-518
Number of pages	4
ISBN (Electronic)	9781509008636
DOIs	https://doi.org/10.1109/RADAR.2016.7485160
State	Published - 9 Jun 2016
Event	IEEE Radar Conference (RadarConf) - Philadelphia, United States Duration: 2 May 2016 → 6 May 2016 Conference number: 2016

Publication series

Name	2016 IEEE Radar Conference, RadarConf 2016

Conference

Conference	IEEE Radar Conference (RadarConf)
Country/Territory	United States
City	Philadelphia
Period	2/05/16 → 6/05/16

ASJC Scopus subject areas

Signal Processing
Computer Networks and Communications
Instrumentation

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10.1109/RADAR.2016.7485160License: CC BY

Cite this

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title = "Sub-Nyquist Collocated MIMO Radar in Time and Space",

abstract = "Multiple input multiple output (MIMO) radar exhibits several advantages with respect to traditional monostatic radar by exploiting transmit waveform diversity. Achieving high resolution requires a large number of transmit and receive antennas. In addition, the digital processing is performed on samples of the received signal at its Nyquist rate, which can be high. Overcoming the rate bottleneck, sub-Nyquist sampling methods have been proposed that break the link between monostatic radar signal bandwidth and sampling rate. In this work, we extend theses methods to MIMO radar and apply the Xampling framework both in the time and spatial domains, achieving reduction in the number of deployed antennas and the number of samples per receiver, without degrading the time and spatial resolutions.",

author = "David Cohen and Deborah Cohen and Eldar, \{Yonina C.\} and Haimovich, \{Alexander M.\}",

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doi = "10.1109/RADAR.2016.7485160",

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AU - Cohen, David

AU - Cohen, Deborah

AU - Eldar, Yonina C.

AU - Haimovich, Alexander M.

N1 - Conference code: 2016

PY - 2016/6/9

Y1 - 2016/6/9

N2 - Multiple input multiple output (MIMO) radar exhibits several advantages with respect to traditional monostatic radar by exploiting transmit waveform diversity. Achieving high resolution requires a large number of transmit and receive antennas. In addition, the digital processing is performed on samples of the received signal at its Nyquist rate, which can be high. Overcoming the rate bottleneck, sub-Nyquist sampling methods have been proposed that break the link between monostatic radar signal bandwidth and sampling rate. In this work, we extend theses methods to MIMO radar and apply the Xampling framework both in the time and spatial domains, achieving reduction in the number of deployed antennas and the number of samples per receiver, without degrading the time and spatial resolutions.

AB - Multiple input multiple output (MIMO) radar exhibits several advantages with respect to traditional monostatic radar by exploiting transmit waveform diversity. Achieving high resolution requires a large number of transmit and receive antennas. In addition, the digital processing is performed on samples of the received signal at its Nyquist rate, which can be high. Overcoming the rate bottleneck, sub-Nyquist sampling methods have been proposed that break the link between monostatic radar signal bandwidth and sampling rate. In this work, we extend theses methods to MIMO radar and apply the Xampling framework both in the time and spatial domains, achieving reduction in the number of deployed antennas and the number of samples per receiver, without degrading the time and spatial resolutions.

UR - https://www.scopus.com/pages/publications/84978245126

U2 - 10.1109/RADAR.2016.7485160

DO - 10.1109/RADAR.2016.7485160

M3 - منشور من مؤتمر

T3 - 2016 IEEE Radar Conference, RadarConf 2016

SP - 515

EP - 518

BT - 2016 IEEE Radar Conference (RadarConf)

T2 - IEEE Radar Conference (RadarConf)

Y2 - 2 May 2016 through 6 May 2016

ER -

Sub-Nyquist Collocated MIMO Radar in Time and Space

Abstract

Publication series

Conference

ASJC Scopus subject areas

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