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.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.