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Sample-Starved Wavefront Adaptive Sensing and GLRT for MTI Radar

Publication ,  Conference
Mueller, E; Martinez, M; Richmond, C; Krolik, J
Published in: Proceedings of the IEEE Radar Conference
January 1, 2024

Moving target indicator (MTI) radars can suffer signal-to-noise ratio (SNR) losses due to: 1) the use of heavy non-adaptive tapers, and/or 2) poor estimation of space-time adaptive weight vectors. For ground-based radars, non-adaptive temporal and spatial tapers with low slide lobe levels are required to suppress strong ground clutter near zero-Doppler. For space-time adaptive processing (STAP), target-free training data is often limited by clutter inhomogeneity in range. In this paper, blind source separation (BSS) which exploits the different Doppler spectra of targets versus clutter is employed to obtain target-free training data using only the space-time data from each range cell-under-test. Two methods using BSS outputs are presented: 1) a wavefront adaptive sensing (WAS) beamformer for suppressing clutter with subsequent matched filtering in the Doppler domain, and 2) a clutter-subspace based optimal generalized likelihood ratio test (GLRT) detection statistic. WAS is used here with non-recurrent (e.g. multi-pulse-frequency-repetition) waveforms to permit detection of targets otherwise masked by Doppler-aliased clutter. Simulation results for a 2-D ground-based S-band phased array MTI radar are presented which demonstrate significant SNR gain versus conventional methods.

Duke Scholars

Published In

Proceedings of the IEEE Radar Conference

DOI

EISSN

2375-5318

ISSN

1097-5764

Publication Date

January 1, 2024
 

Citation

APA
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ICMJE
MLA
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Mueller, E., Martinez, M., Richmond, C., & Krolik, J. (2024). Sample-Starved Wavefront Adaptive Sensing and GLRT for MTI Radar. In Proceedings of the IEEE Radar Conference. https://doi.org/10.1109/RadarConf2458775.2024.10548852
Mueller, E., M. Martinez, C. Richmond, and J. Krolik. “Sample-Starved Wavefront Adaptive Sensing and GLRT for MTI Radar.” In Proceedings of the IEEE Radar Conference, 2024. https://doi.org/10.1109/RadarConf2458775.2024.10548852.
Mueller E, Martinez M, Richmond C, Krolik J. Sample-Starved Wavefront Adaptive Sensing and GLRT for MTI Radar. In: Proceedings of the IEEE Radar Conference. 2024.
Mueller, E., et al. “Sample-Starved Wavefront Adaptive Sensing and GLRT for MTI Radar.” Proceedings of the IEEE Radar Conference, 2024. Scopus, doi:10.1109/RadarConf2458775.2024.10548852.
Mueller E, Martinez M, Richmond C, Krolik J. Sample-Starved Wavefront Adaptive Sensing and GLRT for MTI Radar. Proceedings of the IEEE Radar Conference. 2024.

Published In

Proceedings of the IEEE Radar Conference

DOI

EISSN

2375-5318

ISSN

1097-5764

Publication Date

January 1, 2024