Staff View: MIMO Radar for Direction Finding with Exploitation of Time-Frequency Representations.

MIMO Radar for Direction Finding with Exploitation of Time-Frequency Representations.

Bibliographic Details
Main Authors:	Zhang, Yimin D., Amin, Moeness G.
Format:	Villanova Faculty Authorship
Language:	English
Published:	2011
Online Access:	http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:173429

Main Authors:

Zhang, Yimin D., Amin, Moeness G.

Format:

Villanova Faculty Authorship

Language:

English

Published:

2011

Online Access:

http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:173429

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spelling	MIMO Radar for Direction Finding with Exploitation of Time-Frequency Representations. Zhang, Yimin D. Amin, Moeness G. In this paper we consider the exploitation of spatial timefrequency distribution (STFD) in multiple-input multipleoutput (MIMO) radar systems. STFD has been found useful in solving various array processing problems, such as direction finding and blind separation, where nonstationary signals are involved. Such treatment has been primarily limited to traditional array processing whereas its use in MIMO radar scenario has received less attention. The emphasis of this paper lies in the reexamination of the STFD framework in an MIMO radar platform for the processing of maneuvering targets with nonstationary signatures. Within this framework, we consider the use of joint transmit and receive apertures for the enhancement and improved estimation of time-frequency signature and the application of STFD in joint direction-of-departure (DOD) and direction-of-arrival (DOA) estimations. As a result, it becomes clear that STFD is effective in MIMO radar processing when the targets are of signatures that are highly localized in the time-frequency domain. 2011 Villanova Faculty Authorship vudl:173429 Proceedings of the IEEE I International Conference on Acoustics, Speech, and Signal Processing, Prague, Czech Republic, May 2011. en
dc.title_txt_mv	MIMO Radar for Direction Finding with Exploitation of Time-Frequency Representations.
dc.creator_txt_mv	Zhang, Yimin D. Amin, Moeness G.
dc.description_txt_mv	In this paper we consider the exploitation of spatial timefrequency distribution (STFD) in multiple-input multipleoutput (MIMO) radar systems. STFD has been found useful in solving various array processing problems, such as direction finding and blind separation, where nonstationary signals are involved. Such treatment has been primarily limited to traditional array processing whereas its use in MIMO radar scenario has received less attention. The emphasis of this paper lies in the reexamination of the STFD framework in an MIMO radar platform for the processing of maneuvering targets with nonstationary signatures. Within this framework, we consider the use of joint transmit and receive apertures for the enhancement and improved estimation of time-frequency signature and the application of STFD in joint direction-of-departure (DOD) and direction-of-arrival (DOA) estimations. As a result, it becomes clear that STFD is effective in MIMO radar processing when the targets are of signatures that are highly localized in the time-frequency domain.
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author	Zhang, Yimin D. Amin, Moeness G.
spellingShingle	Zhang, Yimin D. Amin, Moeness G. MIMO Radar for Direction Finding with Exploitation of Time-Frequency Representations.
author_facet	Zhang, Yimin D. Amin, Moeness G.
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description	In this paper we consider the exploitation of spatial timefrequency distribution (STFD) in multiple-input multipleoutput (MIMO) radar systems. STFD has been found useful in solving various array processing problems, such as direction finding and blind separation, where nonstationary signals are involved. Such treatment has been primarily limited to traditional array processing whereas its use in MIMO radar scenario has received less attention. The emphasis of this paper lies in the reexamination of the STFD framework in an MIMO radar platform for the processing of maneuvering targets with nonstationary signatures. Within this framework, we consider the use of joint transmit and receive apertures for the enhancement and improved estimation of time-frequency signature and the application of STFD in joint direction-of-departure (DOD) and direction-of-arrival (DOA) estimations. As a result, it becomes clear that STFD is effective in MIMO radar processing when the targets are of signatures that are highly localized in the time-frequency domain.
title	MIMO Radar for Direction Finding with Exploitation of Time-Frequency Representations.
title_full	MIMO Radar for Direction Finding with Exploitation of Time-Frequency Representations.
title_fullStr	MIMO Radar for Direction Finding with Exploitation of Time-Frequency Representations.
title_full_unstemmed	MIMO Radar for Direction Finding with Exploitation of Time-Frequency Representations.
title_short	MIMO Radar for Direction Finding with Exploitation of Time-Frequency Representations.
title_sort	mimo radar for direction finding with exploitation of time-frequency representations.
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MIMO Radar for Direction Finding with Exploitation of Time-Frequency Representations.
Zhang, Yimin D.
Amin, Moeness G.
In this paper we consider the exploitation of spatial timefrequency distribution (STFD) in multiple-input multipleoutput (MIMO) radar systems. STFD has been found useful in solving various array processing problems, such as direction finding and blind separation, where nonstationary signals are involved. Such treatment has been primarily limited to traditional array processing whereas its use in MIMO radar scenario has received less attention. The emphasis of this paper lies in the reexamination of the STFD framework in an MIMO radar platform for the processing of maneuvering targets with nonstationary signatures. Within this framework, we consider the use of joint transmit and receive apertures for the enhancement and improved estimation of time-frequency signature and the application of STFD in joint direction-of-departure (DOD) and direction-of-arrival (DOA) estimations. As a result, it becomes clear that STFD is effective in MIMO radar processing when the targets are of signatures that are highly localized in the time-frequency domain.
2011
Villanova Faculty Authorship
vudl:173429
Proceedings of the IEEE I International Conference on Acoustics, Speech, and Signal Processing, Prague, Czech Republic, May 2011.
en

dc.title_txt_mv

MIMO Radar for Direction Finding with Exploitation of Time-Frequency Representations.

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Zhang, Yimin D.
Amin, Moeness G.

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In this paper we consider the exploitation of spatial timefrequency distribution (STFD) in multiple-input multipleoutput (MIMO) radar systems. STFD has been found useful in solving various array processing problems, such as direction finding and blind separation, where nonstationary signals are involved. Such treatment has been primarily limited to traditional array processing whereas its use in MIMO radar scenario has received less attention. The emphasis of this paper lies in the reexamination of the STFD framework in an MIMO radar platform for the processing of maneuvering targets with nonstationary signatures. Within this framework, we consider the use of joint transmit and receive apertures for the enhancement and improved estimation of time-frequency signature and the application of STFD in joint direction-of-departure (DOD) and direction-of-arrival (DOA) estimations. As a result, it becomes clear that STFD is effective in MIMO radar processing when the targets are of signatures that are highly localized in the time-frequency domain.

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Zhang, Yimin D.
Amin, Moeness G.

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Zhang, Yimin D.
Amin, Moeness G.
MIMO Radar for Direction Finding with Exploitation of Time-Frequency Representations.

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Amin, Moeness G.

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MIMO Radar for Direction Finding with Exploitation of Time-Frequency Representations.

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MIMO Radar for Direction Finding with Exploitation of Time-Frequency Representations.

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MIMO Radar for Direction Finding with Exploitation of Time-Frequency Representations.

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MIMO Radar for Direction Finding with Exploitation of Time-Frequency Representations.

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MIMO Radar for Direction Finding with Exploitation of Time-Frequency Representations.

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mimo radar for direction finding with exploitation of time-frequency representations.

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MIMO Radar for Direction Finding with Exploitation of Time-Frequency Representations.

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