Minimum detectable velocity (MDV) for ATI and STAP for high speed platforms

Ke Yong Li; Unnikrishna Pillai; Saba Mudaliar

doi:10.1109/RADAR.2019.8835591

Minimum detectable velocity (MDV) for ATI and STAP for high speed platforms

Ke Yong Li, Unnikrishna Pillai, Saba Mudaliar

Electrical and Computer Engineering

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

Abstract

In this paper, the GMTI performance and limitation in terms of minimum detectable velocity (MDV) using ATI and STAP are investigated from a high-speed platform. Statistical characterizations of the ATI phase variable and the STAP output power are used to derive probability of detection vs. probability of false alarm for moving targets as a function of their velocity, SNR and CNR. The MDV for moving targets are computed for a certain probability of detection and false alarm rate under different conditions. Finally, the comparison between the MDV performances for ATI and STAP are carried out by computing the MDVs as functions of key parameters of the problem.

Original language	English (US)
Title of host publication	2019 IEEE Radar Conference, RadarConf 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728116792
DOIs	https://doi.org/10.1109/RADAR.2019.8835591
State	Published - Apr 2019
Event	2019 IEEE Radar Conference, RadarConf 2019 - Boston, United States Duration: Apr 22 2019 → Apr 26 2019

Publication series

Name	2019 IEEE Radar Conference, RadarConf 2019

Conference

Conference	2019 IEEE Radar Conference, RadarConf 2019
Country/Territory	United States
City	Boston
Period	4/22/19 → 4/26/19

Keywords

Along Track Interferometry (ATI)
Ground Moving Target Indication (GMTI)
Minimum Detectable Velocity (MDV)
Space-Time Adaptive Processing (STAP)
Synthetic Aperture Radar (SAR)

ASJC Scopus subject areas

Computer Networks and Communications
Signal Processing
Instrumentation

Access to Document

10.1109/RADAR.2019.8835591

Cite this

Minimum detectable velocity (MDV) for ATI and STAP for high speed platforms. / Li, Ke Yong; Pillai, Unnikrishna; Mudaliar, Saba.
2019 IEEE Radar Conference, RadarConf 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8835591 (2019 IEEE Radar Conference, RadarConf 2019).

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

Li, KY, Pillai, U & Mudaliar, S 2019, Minimum detectable velocity (MDV) for ATI and STAP for high speed platforms. in 2019 IEEE Radar Conference, RadarConf 2019., 8835591, 2019 IEEE Radar Conference, RadarConf 2019, Institute of Electrical and Electronics Engineers Inc., 2019 IEEE Radar Conference, RadarConf 2019, Boston, United States, 4/22/19. https://doi.org/10.1109/RADAR.2019.8835591

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title = "Minimum detectable velocity (MDV) for ATI and STAP for high speed platforms",

abstract = "In this paper, the GMTI performance and limitation in terms of minimum detectable velocity (MDV) using ATI and STAP are investigated from a high-speed platform. Statistical characterizations of the ATI phase variable and the STAP output power are used to derive probability of detection vs. probability of false alarm for moving targets as a function of their velocity, SNR and CNR. The MDV for moving targets are computed for a certain probability of detection and false alarm rate under different conditions. Finally, the comparison between the MDV performances for ATI and STAP are carried out by computing the MDVs as functions of key parameters of the problem.",

keywords = "Along Track Interferometry (ATI), Ground Moving Target Indication (GMTI), Minimum Detectable Velocity (MDV), Space-Time Adaptive Processing (STAP), Synthetic Aperture Radar (SAR)",

author = "Li, {Ke Yong} and Unnikrishna Pillai and Saba Mudaliar",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE Radar Conference, RadarConf 2019 ; Conference date: 22-04-2019 Through 26-04-2019",

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doi = "10.1109/RADAR.2019.8835591",

language = "English (US)",

series = "2019 IEEE Radar Conference, RadarConf 2019",

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AU - Pillai, Unnikrishna

AU - Mudaliar, Saba

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N2 - In this paper, the GMTI performance and limitation in terms of minimum detectable velocity (MDV) using ATI and STAP are investigated from a high-speed platform. Statistical characterizations of the ATI phase variable and the STAP output power are used to derive probability of detection vs. probability of false alarm for moving targets as a function of their velocity, SNR and CNR. The MDV for moving targets are computed for a certain probability of detection and false alarm rate under different conditions. Finally, the comparison between the MDV performances for ATI and STAP are carried out by computing the MDVs as functions of key parameters of the problem.

AB - In this paper, the GMTI performance and limitation in terms of minimum detectable velocity (MDV) using ATI and STAP are investigated from a high-speed platform. Statistical characterizations of the ATI phase variable and the STAP output power are used to derive probability of detection vs. probability of false alarm for moving targets as a function of their velocity, SNR and CNR. The MDV for moving targets are computed for a certain probability of detection and false alarm rate under different conditions. Finally, the comparison between the MDV performances for ATI and STAP are carried out by computing the MDVs as functions of key parameters of the problem.

KW - Along Track Interferometry (ATI)

KW - Ground Moving Target Indication (GMTI)

KW - Minimum Detectable Velocity (MDV)

KW - Space-Time Adaptive Processing (STAP)

KW - Synthetic Aperture Radar (SAR)

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U2 - 10.1109/RADAR.2019.8835591

DO - 10.1109/RADAR.2019.8835591

M3 - Conference contribution

T3 - 2019 IEEE Radar Conference, RadarConf 2019

BT - 2019 IEEE Radar Conference, RadarConf 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2019 IEEE Radar Conference, RadarConf 2019

Y2 - 22 April 2019 through 26 April 2019

ER -

Minimum detectable velocity (MDV) for ATI and STAP for high speed platforms

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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