Affiliation:
1. Research Institute of Information Fusion Naval Aviation University Yantai Shandong China
Abstract
AbstractThis study considers the problem of detecting range‐spread targets embedded in subspace interference plus Gaussian clutter with an unknown covariance matrix. The target and interference signals are modeled in terms of deterministic signals belonging to two known subspaces, respectively. Based on the Gradient test criterion, two adaptive detectors are devised for rejecting subspace interference in homogeneous and partially homogeneous environments, respectively. Both of the proposed detectors theoretically exhibit a desirable property of a constant false alarm rate with respect to the clutter covariance matrix as well as the power level. Furthermore, the numerical results show that, compared with their existing counterparts, the proposed detectors exhibit better detection performance and satisfactory suppression performance for the interference.
Funder
National Natural Science Foundation of China
Taishan Scholar Foundation of Shandong Province
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering
Cited by
1 articles.
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