Time-Domain Processing for Exact Background Clutter Extraction and Reduction in RCS Measurement
Pages 129 - 133
Abstract
In radar cross section (RCS) measurement of modern low observable radar targets, the relatively strong background clutter degrades the uncertainty of the calibrated RCS data. In this work, a time-domain processing technique is proposed for zero-Doppler clutter (ZDC) extraction and reduction, which is attributed to stationary background scattering from the test field. Raw wideband RCS data are first transformed using fast Fourier transform (FFT) to obtain the high resolution range profiles (HRRP). Time domain ZDC estimates are then obtained and refined using maximum probability (MP) statistics to remove the residual target components which exist for conventional ZDC processing. Results of outdoor test range signature data processing demonstrate that ZDC can be greatly suppressed while the target signatures are well preserved using the proposed technique.
References
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[2]
A. Showman, K. Sangston, and M. Richards, "Comparison of two algorithms for correcting zero-Doppler clutter in turntable ISAR imagery," IEEE Conference Record of the Thirty-Second Asilomar Conference on Signal, System and Computers, vol. 1, pp. 411--415, December 1998.
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L. A. Muth, C. M. Wang, and T. Conn, "Robust Separation of Background and Target Signals in Radar Cross Section Measurements," IEEE Trans. Instrum. Meas., Vol.54, No.6, pp. 2462--2468, 2005.
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Index Terms
- Time-Domain Processing for Exact Background Clutter Extraction and Reduction in RCS Measurement
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Published In
November 2017
237 pages
ISBN:9781450353847
DOI:10.1145/3163080
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Published: 27 November 2017
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ICSPS 2017
ICSPS 2017: The 9th International Conference on Signal Processing Systems
November 27 - 30, 2017
Auckland, New Zealand
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