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首页> 美国政府科技报告 >Novel Approach for the Detection of Maneuvering Air Targets in Sea- Clutter Using High-Frequency Surface-Wave Radar.
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Novel Approach for the Detection of Maneuvering Air Targets in Sea- Clutter Using High-Frequency Surface-Wave Radar.

机译：利用高频地波雷达探测海杂波中机动目标的新方法。

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摘要

A novel time-frequency signal decomposition approach is evaluated for the detection of maneuvering air targets in sea-clutter using High- Frequency Surface-Wave Radar (HFSWR). This approach is based upon time- frequency analysis and its eigenvalue decomposition. Results demonstrate that the new approach provides an effective way for detecting and analyzing maneuvering air targets in heavily cluttered regions. In addition, the proposed approach successfully detects the maneuvering target in all cases of the experiment. In contrast, the traditional Fourier transform method fails to detect air targets when a certain degree of acceleration is present. This is because of the phenomenon known as Doppler smearing. It is statistically shown that the new approach produces satisfactory results even with very low signal- to-noise ratios. The results obtained are robust with respect to the algorithm parameters. The basis of the method, theoretical derivations, and comparisons with traditional procedures are outlined here-in.

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