2024
DOI: 10.23919/jsee.2024.000026
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Overview of Radar Detection Methods for Low Altitude Targets in Marine Environments

Yong Yang,
Boyu Yang

Abstract: In this paper, a comprehensive overview of radar detection methods for low-altitude targets in maritime environments is presented, focusing on the challenges posed by sea clutter and multipath scattering. The performance of the radar detection methods under sea clutter, multipath, and combined conditions is categorized and summarized, and future research directions are outlined to enhance radar detection performance for low-altitude targets in maritime environments.

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Cited by 1 publication
(2 citation statements)
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“…In step III, note that the matrix inversion operation is contained in these four detectors, which occupies the main computing cost; thus, the computation complexity of ( 10), (26), and ( 27) is O(M 3 ). For the S-MIG detector, an extra operation (22) is added compared to the MIG detector, for which the computation complexity is O(M), and the computation complexity of Formula ( 23) is O(M 3 ).…”
Section: Computation Complexity Analysismentioning
confidence: 99%
See 1 more Smart Citation
“…In step III, note that the matrix inversion operation is contained in these four detectors, which occupies the main computing cost; thus, the computation complexity of ( 10), (26), and ( 27) is O(M 3 ). For the S-MIG detector, an extra operation (22) is added compared to the MIG detector, for which the computation complexity is O(M), and the computation complexity of Formula ( 23) is O(M 3 ).…”
Section: Computation Complexity Analysismentioning
confidence: 99%
“…The irregular terrain and sea surface make the environment heterogeneous, and the available training samples are drastically reduced, leading to performance degradation of existing algorithms in heterogeneous clutter environments [21]. To solve this problem, a class of clutter covariance matrix (CCM) estimation methods and detection algorithms [22,23] are investigated. Many studies have improved the estimation method of the CCM to enhance the robustness of detectors in heterogeneous environments [24][25][26][27][28], but these methods usually need iterative operations and are accompanied by heavy computational burden.…”
Section: Introductionmentioning
confidence: 99%