Abstract
Range-spread target (RST) detection is a concerned issue in high-resolution radar. Exploitation of target scattering characteristic can improve the detection performance of a RST, but is usually unavailable because of the non-cooperative nature of the target. In this work, a two-stage implemented detector based on an optimized radar workflow is proposed to address this problem. In the first stage, named high-resolution range profile-pursuing (HRRP-pursuing), a fast Fourier transform-initialized Akaike information criterion (AIC) algorithm is proposed to estimate target HRRP using historical echoes. In the second stage, the proposed detector uses the estimated HRRP as a reference signal and performs matched filtering to realize RST detection. Theoretical analysis of the false alarm property of the detector is derived. The effectiveness of the proposed detector is verified using simulated and real radar data experiments and the influences of the number of used historical echoes and target sparseness on detection performance are discussed.
Published Version
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