Simulation study demonstrates improved target detection in wideband radar across Weibull clutter backgrounds, highlighting effective mitigation of range spread energy dispersion.
In the domain of wideband radar, detecting targets often involves the dispersion of target echo energy across multiple range resolution cells. A critical aspect of enhancing wideband radar target detection performance lies in effectively utilizing this discrete energy information. This paper introduces the Hough transform and weighted amplitude iteration detector (HT-WAID) for wideband radar, which effectively mitigates the effects of range spread on detection performance. Firstly, the analysis commences for wideband radar targets under both single-rank and multi-rank conditions. Subsequently, a weighted amplitude iteration range spread target detector (WAI-RSTD) is introduced. Furthermore, the WAI-RSTD algorithm is extended to a two-dimensional detection space using Hough transform theory. Simulation results demonstrate that the proposed algorithm outperforms Adaptive generalized likelihood ratio test (GLRT) and Wald-like detectors, showcasing superior target detection and clutter suppression capabilities in complex white Gaussian noise and Weibull clutter backgrounds.
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Wu et al. (2024) studied this question.
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