2011
DOI: 10.1049/iet-rsn.2009.0247
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Target detection in high-resolution sea clutter via block-adaptive clutter suppression

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Cited by 38 publications
(23 citation statements)
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“…Figure 5(b) shows the detection results after processing the range profiles with a clutter suppression algorithm. The suppression algorithm uses a principal component decomposition of set of range profiles [5] taken while the vehicle is moving. The largest components are removed and the range profile of interest is compared to a threshold and filtered to form the detection profile.…”
Section: Resultsmentioning
confidence: 99%
“…Figure 5(b) shows the detection results after processing the range profiles with a clutter suppression algorithm. The suppression algorithm uses a principal component decomposition of set of range profiles [5] taken while the vehicle is moving. The largest components are removed and the range profile of interest is compared to a threshold and filtered to form the detection profile.…”
Section: Resultsmentioning
confidence: 99%
“…The Doppler spectrum of the target and that of clutter are now mixed together. In these cases, having a comprehensive understanding for the characteristic of the clutter Doppler spectrum is very helpful in designing specific signal processing algorithms for clutter suppression and for target detection [53][54][55][56]. Moreover, the proper model of the clutter Doppler spectrum is essential for the accurate simulation of the coherent clutter returns [32,33,37].…”
Section: Spectral Analysismentioning
confidence: 99%
“…HFSWR has gained much attention in recent years due to its remarkable capabilities in target monitoring and remote sensing over the horizon [1][2][3]. However, the HF band is a heavily congested part of radio and clutter spectrum, which makes the desired signals easily submerged and difficult to detect.…”
Section: Introductionmentioning
confidence: 99%