Target estimation using compressive sensing for distributed MIMO radar

Sandeep Gogineni; Arye Nehorai

doi:10.1109/ACSSC.2010.5757674

Target estimation using compressive sensing for distributed MIMO radar

Sandeep Gogineni
, Arye Nehorai

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

10 Scopus citations

Abstract

Distributed Multiple Input Multiple Output (MIMO) radar systems enable viewing the targets from different angles, thereby providing spatial diversity gain. In this paper, we propose an approach to accurately estimate the parameters (position, velocity) of multiple targets using such systems from fewer number of samples by employing compressive sensing. We also introduce a new metric to analyze the performance of the radar system. We show the improvement in performance over conventional Single Input Single Output (SISO) radar systems due to the spatial diversity offered by MIMO radar. We also demonstrate that the sampling rates can be significantly reduced by using compressive sensing at the receivers.

Original language	English
Title of host publication	Conference Record of the 44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010
Pages	793-797
Number of pages	5
DOIs	https://doi.org/10.1109/ACSSC.2010.5757674
State	Published - 2010
Event	44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010 - Pacific Grove, CA, United States Duration: Nov 7 2010 → Nov 10 2010

Publication series

Name	Conference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)	1058-6393

Conference

Conference	44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010
Country/Territory	United States
City	Pacific Grove, CA
Period	11/7/10 → 11/10/10

Keywords

Multiple Input Multiple Output (MIMO) radar
compressive sensing
distributed
multiple targets
widely separated antennas

Access to Document

10.1109/ACSSC.2010.5757674

Cite this

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title = "Target estimation using compressive sensing for distributed MIMO radar",

abstract = "Distributed Multiple Input Multiple Output (MIMO) radar systems enable viewing the targets from different angles, thereby providing spatial diversity gain. In this paper, we propose an approach to accurately estimate the parameters (position, velocity) of multiple targets using such systems from fewer number of samples by employing compressive sensing. We also introduce a new metric to analyze the performance of the radar system. We show the improvement in performance over conventional Single Input Single Output (SISO) radar systems due to the spatial diversity offered by MIMO radar. We also demonstrate that the sampling rates can be significantly reduced by using compressive sensing at the receivers.",

keywords = "Multiple Input Multiple Output (MIMO) radar, compressive sensing, distributed, multiple targets, widely separated antennas",

author = "Sandeep Gogineni and Arye Nehorai",

year = "2010",

doi = "10.1109/ACSSC.2010.5757674",

language = "English",

isbn = "9781424497218",

series = "Conference Record - Asilomar Conference on Signals, Systems and Computers",

pages = "793--797",

booktitle = "Conference Record of the 44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010",

note = "44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010 ; Conference date: 07-11-2010 Through 10-11-2010",

}

Gogineni, S & Nehorai, A 2010, Target estimation using compressive sensing for distributed MIMO radar. in Conference Record of the 44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010., 5757674, Conference Record - Asilomar Conference on Signals, Systems and Computers, pp. 793-797, 44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010, Pacific Grove, CA, United States, 11/7/10. https://doi.org/10.1109/ACSSC.2010.5757674

Target estimation using compressive sensing for distributed MIMO radar. / Gogineni, Sandeep; Nehorai, Arye.
Conference Record of the 44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010. 2010. p. 793-797 5757674 (Conference Record - Asilomar Conference on Signals, Systems and Computers).

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

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T1 - Target estimation using compressive sensing for distributed MIMO radar

AU - Gogineni, Sandeep

AU - Nehorai, Arye

PY - 2010

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AB - Distributed Multiple Input Multiple Output (MIMO) radar systems enable viewing the targets from different angles, thereby providing spatial diversity gain. In this paper, we propose an approach to accurately estimate the parameters (position, velocity) of multiple targets using such systems from fewer number of samples by employing compressive sensing. We also introduce a new metric to analyze the performance of the radar system. We show the improvement in performance over conventional Single Input Single Output (SISO) radar systems due to the spatial diversity offered by MIMO radar. We also demonstrate that the sampling rates can be significantly reduced by using compressive sensing at the receivers.

KW - Multiple Input Multiple Output (MIMO) radar

KW - compressive sensing

KW - distributed

KW - multiple targets

KW - widely separated antennas

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U2 - 10.1109/ACSSC.2010.5757674

DO - 10.1109/ACSSC.2010.5757674

M3 - Conference contribution

AN - SCOPUS:79958000230

SN - 9781424497218

T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers

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BT - Conference Record of the 44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010

T2 - 44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010

Y2 - 7 November 2010 through 10 November 2010

ER -

Target estimation using compressive sensing for distributed MIMO radar

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Keywords

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