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.
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