Journal
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
Volume 57, Issue 3, Pages 1872-1890Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TAES.2021.3050654
Keywords
Clutter; Detectors; Marine vehicles; Parameter estimation; Oceans; Radar polarimetry; Closed-form solutions; Adaptive-trimming-depths; bilateral-trimmed-statistics (BTS); complex ocean scenes; robust constant false alarm rate (RCFAR); synthetic aperture radar (SAR) ship detection
Funding
- National Natural Science Foundation of China [62071164, 61701157, 61701154, U19B2018, 2020T130165]
- Fundamental Research Funds for the Central Universities of China [JZ2020HGTB0012]
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Proposed BTS-RCFAR detector improves detection performance in complex ocean scenes by reducing false alarm rate and increasing detection rate through bilateral-trimmed statistics.
A robust constant false alarm rate (RCFAR) detector based on bilateral-trimmed-statistics (BTS-RCFAR) with a closed-form solution is proposed. BTS-RCFAR aims at improving the detection performance in complex ocean scenes such as the multiple-target environment, off-shore, oil-spilled ocean area, etc. In these circumstances, the clutter samples are often contaminated by the outliers. Consequently, the estimated parameters are biased, and the probability density function modeling of the clutter is not accurate. Detection performance deteriorates with either decrease of the detection rate or increase of the false alarm rate. Inspired by Sigma filter, BTS-RCFAR proposes a bilateral-thresholds-based strategy to automatically trim the samples in the local reference window, both the high-intensity and the low-intensity outliers are eliminated. Furthermore, the trimming depth is adaptively derived according to the homogeneity of the clutter backgrounds, where the outliers are completely removed and the real clutter samples can be greatly sustained. Maximum-likelihood-estimator with a closed-form solution is used for parameter estimation using the bilateral-trimmed samples, and log-normal model of the sea clutter can be accurately established. Finally, the test cell is detected given the specified probability of false alarm rate. BTS-RCFAR improves the detection performance in complex ocean scenes by elevating the detection rate and reducing the false alarm rate. Both simulated data and real data are used for validation.
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