TY - JOUR
T1 - On Adaptive Spatial-Temporal Processing for Airborne Surveillance Radar Systems
AU - Wang, Hong
AU - Cai, Lujing
N1 - Funding Information:
This work was partially supported by the Rome Laboratory under Air Force Contract €30602-89-C-0082 (Subcontract SCEEE-DACS-P35498-2).T he work of H. Wang was also supported by the Air Force Multi-Channel Airborne Radar Measurement program (MCARM) under an Intergovernmental Personnel Agreement between the US. government and Syracuse University.
Copyright:
Copyright 2015 Elsevier B.V., All rights reserved.
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.
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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 -