| 1. |
- Lei, Shiwen, et al.
(author)
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A CFAR Adaptive Subspace Detector Based on a Single Observation in System-Dependent Clutter Background
- 2014
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In: IEEE Transactions on Signal Processing. - 1053-587X. ; 62:20, s. 5260-5269
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Journal article (peer-reviewed)abstract
- In this paper, the problem of detecting target in system-dependent clutter (SDC) background with a single observation from the test cell is researched. Classical detectors, such as the generalized likelihood ratio detectors (GLRDs) and the adaptive matched filters (AMFs), etc., usually deal with the clutter and the noise as a whole. The low rank detectors (LRDs) make use of the low rank property of the clutter to improve the detection performance. However, the performance of LRDs degrades when the signal is not orthogonal with respect to (w.r.t.) the clutter. In this paper, an adaptive subspace detector for SDC (SDC-ASD) background which deals with the clutter and the noise separately is proposed. The SDC-ASD designs the test statistic by replacing the signal and the clutter covariance matrix with their maximum likelihood estimations (MLEs). Its theoretical false alarm probability and detection probability are analytically deduced. Analytical results show that the test statistic has the form of non-central distribution. Besides, it is shown that the SDC-ASD has constant false alarm rate (CFAR) performance w.r.t. the clutter and the noise. Numerical experiments are provided to validate the detection performance of the SDC-ASD in dealing with the target detection in SDC background.
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| 2. |
- Lei, Shiwen, et al.
(author)
-
Adaptive polarimetric detection method for target in partially homogeneous background
- 2015
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In: Signal Processing. - : Elsevier BV. - 0165-1684. ; 106, s. 301-311
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Journal article (peer-reviewed)abstract
- In this paper,the problem of enhancing the detection performance of detector for target in partially homogeneous background is addressed. ased on a general measurement model, a new constant false alarm rate (CFAR) adaptive matched detector (AMD) is proposed through a two-step design procedure. The detection performance of the AMD is theoretically analyzed. Then, the correctness of the analytical results and the effectiveness of the AMD are validated through numerical experiments and IPIX radar data. To further improve the detection performance of AMD, optimal polarimetric waveform design is approached. The waveform is designed by optimally selecting the transmitted polarization that maximizes a non-central parameter of the detection probability. Numerical experiments are provided to validate the performance improvement by comparing the optimal AMD with the optimal adaptive subspace detector(ASD) and the fixed AMDs. Comparison results show that a gain of 1–5 dB is obtained by the optimal AMD.
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| 3. |
- Lei, Shiwen, et al.
(author)
-
Analyses of the performance of adaptive subspace detector on fluctuating target detection in system-dependent clutter background
- 2016
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In: IET Radar, Sonar and Navigation. - : Institution of Engineering and Technology (IET). - 1751-8784 .- 1751-8792. ; 10:9, s. 1635-1642
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Journal article (peer-reviewed)abstract
- The adaptive subspace detector in system-dependent clutter background (SDC-ASD) is proved to be able to improve the detection performance for deterministic target detection in the authors' previous study. However, the exact performance of the SDC-ASD for fluctuating target detection is still unknown. In this study, with the aid of matrix decomposition theory, the analytical performance of the SDC-ASD for detecting fluctuating target is considered and assessed. At the design stage, the rigorous mathematical derivation processes for the exact theoretical detection performance of the SDC-ASD for fluctuating target detection is derived. The theoretical results, which have explicitly expressions for both the false alarm probability and the detection probability, not only provide an effective mathematical method to analyse the fluctuating target detection performance, but also can further simplify the deterministic target detection assessments. At the analysis stage, Monte Carlo simulations are resorted to validate the analytical results. Numerical experiments are conducted to assess the effectiveness of the SDC-ASD for fluctuating target detection. Results show that the SDC-ASD, by dealing separately with the clutter and the noise, performs the best in comparison with its published counterparts, i.e. the generalised likelihood ratio detectors, the adaptive matched filters, the adaptive subspace detectors and the low-rank detectors based on sample covariance matrix.
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