Range-dependence issues in multistatic stap-based radar

Xavier Neyt; Marc Acheroy; Jacques G. Verly

Range-dependence issues in multistatic stap-based radar

Xavier Neyt, Marc Acheroy, Jacques G. Verly

Université de Liège

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

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Abstract

Multisatic radar systems offer the potential to overcome some of the limitations of the monostatic or bistatic systems. In particular, the ability to build larger apertures allows to increase spatial accuracy. Space-time adaptive processing (STAP) is a method of choice in the context of slow-moving target detection. However, the statistics of signals from multistatic radars are typically range-dependent. This range-dependence leads to major difficulties in estimating the interference plus noise covariance matrix required to perform STAP. In this paper, we present a method able to compensate for the range-dependence of the signal statistics and we show that this method achieves near-optimal performance.

Original language	English
Title of host publication	2006 IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings, SAM 2006
Pages	594-598
Number of pages	5
Publication status	Published - 2006
Event	4th IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings, SAM 2006 - Waltham, MA, United States Duration: 12 Jul 2006 → 14 Jul 2006

Publication series

Name	2006 IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings, SAM 2006

Conference

Conference	4th IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings, SAM 2006
Country/Territory	United States
City	Waltham, MA
Period	12/07/06 → 14/07/06

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sam04-neytAccepted author manuscript, 313 KBLicence: CC BY-NC-ND

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@inproceedings{3f82d4749d4045488d3a3419e2b3b031,

title = "Range-dependence issues in multistatic stap-based radar",

abstract = "Multisatic radar systems offer the potential to overcome some of the limitations of the monostatic or bistatic systems. In particular, the ability to build larger apertures allows to increase spatial accuracy. Space-time adaptive processing (STAP) is a method of choice in the context of slow-moving target detection. However, the statistics of signals from multistatic radars are typically range-dependent. This range-dependence leads to major difficulties in estimating the interference plus noise covariance matrix required to perform STAP. In this paper, we present a method able to compensate for the range-dependence of the signal statistics and we show that this method achieves near-optimal performance.",

author = "Xavier Neyt and Marc Acheroy and Verly, \{Jacques G.\}",

year = "2006",

language = "English",

isbn = "1424403081",

series = "2006 IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings, SAM 2006",

pages = "594--598",

booktitle = "2006 IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings, SAM 2006",

note = "4th IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings, SAM 2006 ; Conference date: 12-07-2006 Through 14-07-2006",

}

Neyt, X, Acheroy, M & Verly, JG 2006, Range-dependence issues in multistatic stap-based radar. in 2006 IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings, SAM 2006. 2006 IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings, SAM 2006, pp. 594-598, 4th IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings, SAM 2006, Waltham, MA, United States, 12/07/06.

Range-dependence issues in multistatic stap-based radar. / Neyt, Xavier; Acheroy, Marc; Verly, Jacques G.
2006 IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings, SAM 2006. 2006. p. 594-598 (2006 IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings, SAM 2006).

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

TY - GEN

T1 - Range-dependence issues in multistatic stap-based radar

AU - Neyt, Xavier

AU - Acheroy, Marc

AU - Verly, Jacques G.

PY - 2006

Y1 - 2006

N2 - Multisatic radar systems offer the potential to overcome some of the limitations of the monostatic or bistatic systems. In particular, the ability to build larger apertures allows to increase spatial accuracy. Space-time adaptive processing (STAP) is a method of choice in the context of slow-moving target detection. However, the statistics of signals from multistatic radars are typically range-dependent. This range-dependence leads to major difficulties in estimating the interference plus noise covariance matrix required to perform STAP. In this paper, we present a method able to compensate for the range-dependence of the signal statistics and we show that this method achieves near-optimal performance.

AB - Multisatic radar systems offer the potential to overcome some of the limitations of the monostatic or bistatic systems. In particular, the ability to build larger apertures allows to increase spatial accuracy. Space-time adaptive processing (STAP) is a method of choice in the context of slow-moving target detection. However, the statistics of signals from multistatic radars are typically range-dependent. This range-dependence leads to major difficulties in estimating the interference plus noise covariance matrix required to perform STAP. In this paper, we present a method able to compensate for the range-dependence of the signal statistics and we show that this method achieves near-optimal performance.

UR - https://www.scopus.com/pages/publications/34250655257

M3 - Conference contribution

AN - SCOPUS:34250655257

SN - 1424403081

SN - 9781424403080

T3 - 2006 IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings, SAM 2006

SP - 594

EP - 598

BT - 2006 IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings, SAM 2006

T2 - 4th IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings, SAM 2006

Y2 - 12 July 2006 through 14 July 2006

ER -

Range-dependence issues in multistatic stap-based radar

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