On Adaptive Spatial-Temporal Processing for Airborne Surveillance Radar Systems

Hong Wang; Lujing Cai

doi:10.1109/7.303737

On Adaptive Spatial-Temporal Processing for Airborne Surveillance Radar Systems

Hong Wang, Lujing Cai

Department of Electrical Engineering & Computer Science

Research output: Contribution to journal › Article › peer-review

350 Scopus citations

Abstract

Implementing the optimum spatial-temporal (angle-Doppler) processor ‘wolves two crucial issues: The selection of processing configurations, and the development of adaptive algorithms which can efficiently approach the performance potential of the selected configuration. Among the three available configurations, the joint-domain, the cascade space-time, and the cascade time-space, this work shows that, in contrast to a popular belief, the detection performance potentials of both cascade configurations can fall far below that of the joint-domain optimum. In addition, this work presents a new adaptive algorithm, called the Joint-Domain Localized Generalized Likelihood Ratio detection (JDL-GLR), which is data efficient (Le., with fast convergence to the joint-domain optimum), as well as computationally efficient, together with such desirable features as the embedded constant false-alarm rate (CFAR) and robustness in non-Gaussian interference.

Original language	English (US)
Pages (from-to)	660-670
Number of pages	11
Journal	IEEE Transactions on Aerospace and Electronic Systems
Volume	30
Issue number	3
DOIs	https://doi.org/10.1109/7.303737
State	Published - Jul 1994

ASJC Scopus subject areas

Aerospace Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/7.303737

Fingerprint Dive into the research topics of 'On Adaptive Spatial-Temporal Processing for Airborne Surveillance Radar Systems'. Together they form a unique fingerprint.

Cite this

@article{d1645f93270f4285b719dbc3a3f330aa,

title = "On Adaptive Spatial-Temporal Processing for Airborne Surveillance Radar Systems",

abstract = "Implementing the optimum spatial-temporal (angle-Doppler) processor {\textquoteleft}wolves two crucial issues: The selection of processing configurations, and the development of adaptive algorithms which can efficiently approach the performance potential of the selected configuration. Among the three available configurations, the joint-domain, the cascade space-time, and the cascade time-space, this work shows that, in contrast to a popular belief, the detection performance potentials of both cascade configurations can fall far below that of the joint-domain optimum. In addition, this work presents a new adaptive algorithm, called the Joint-Domain Localized Generalized Likelihood Ratio detection (JDL-GLR), which is data efficient (Le., with fast convergence to the joint-domain optimum), as well as computationally efficient, together with such desirable features as the embedded constant false-alarm rate (CFAR) and robustness in non-Gaussian interference.",

author = "Hong Wang and Lujing Cai",

year = "1994",

month = jul,

doi = "10.1109/7.303737",

language = "English (US)",

volume = "30",

pages = "660--670",

journal = "IEEE Transactions on Aerospace and Electronic Systems",

issn = "0018-9251",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "3",

}

TY - JOUR

T1 - On Adaptive Spatial-Temporal Processing for Airborne Surveillance Radar Systems

AU - Wang, Hong

AU - Cai, Lujing

PY - 1994/7

Y1 - 1994/7

N2 - Implementing the optimum spatial-temporal (angle-Doppler) processor ‘wolves two crucial issues: The selection of processing configurations, and the development of adaptive algorithms which can efficiently approach the performance potential of the selected configuration. Among the three available configurations, the joint-domain, the cascade space-time, and the cascade time-space, this work shows that, in contrast to a popular belief, the detection performance potentials of both cascade configurations can fall far below that of the joint-domain optimum. In addition, this work presents a new adaptive algorithm, called the Joint-Domain Localized Generalized Likelihood Ratio detection (JDL-GLR), which is data efficient (Le., with fast convergence to the joint-domain optimum), as well as computationally efficient, together with such desirable features as the embedded constant false-alarm rate (CFAR) and robustness in non-Gaussian interference.

AB - Implementing the optimum spatial-temporal (angle-Doppler) processor ‘wolves two crucial issues: The selection of processing configurations, and the development of adaptive algorithms which can efficiently approach the performance potential of the selected configuration. Among the three available configurations, the joint-domain, the cascade space-time, and the cascade time-space, this work shows that, in contrast to a popular belief, the detection performance potentials of both cascade configurations can fall far below that of the joint-domain optimum. In addition, this work presents a new adaptive algorithm, called the Joint-Domain Localized Generalized Likelihood Ratio detection (JDL-GLR), which is data efficient (Le., with fast convergence to the joint-domain optimum), as well as computationally efficient, together with such desirable features as the embedded constant false-alarm rate (CFAR) and robustness in non-Gaussian interference.

UR - http://www.scopus.com/inward/record.url?scp=0028467804&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0028467804&partnerID=8YFLogxK

U2 - 10.1109/7.303737

DO - 10.1109/7.303737

M3 - Article

AN - SCOPUS:0028467804

VL - 30

SP - 660

EP - 670

JO - IEEE Transactions on Aerospace and Electronic Systems

JF - IEEE Transactions on Aerospace and Electronic Systems

SN - 0018-9251

IS - 3

ER -