Knowledge-Based Space-Time Adaptive Processing

This paper presents a novel concept for knowledge-based control of space-time adaptive processing. Firstly use a-prior knowledge to pre-adaptive, and then use non-homogeneity detector (NHD) to distinguish homogeneous range cells and non-homogenous ones. Secondly respectively use statistical algorith...

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Bibliographic Details
Main Authors: Lin-Ru You, Xiao-Qin Wen, Shu-E Bi
Format: Conference Proceeding
Language:English
Subjects:
correlation dimension non-homogeneity detection (CD-NHD)
Cybernetics
Knowledge-based
Machine learning
space-time adaptive processing (STAP)
two-stage hybrid approach
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Summary:This paper presents a novel concept for knowledge-based control of space-time adaptive processing. Firstly use a-prior knowledge to pre-adaptive, and then use non-homogeneity detector (NHD) to distinguish homogeneous range cells and non-homogenous ones. Secondly respectively use statistical algorithm and two-stage hybrid approach or other non-statistical approach to process homogeneous range cells and non-homogeneous range cells, to detect and track target. Lastly Mountaintop data simulation results show that this knowledge-based space-time adaptive processing approach significantly enhances the processing performance for airborne surveillance application in practical complex environment.
ISSN:2160-133X
DOI:10.1109/ICMLC.2007.4370554