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Abstract
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| An Inverse Synthetic Aperture Radar (ISAR) obtains images of radar targets by means of an advanced signal processing. The image quality is usually measured by two parameters: resolution and sidelobe level. Sidelobe level is commonly reduced by leneal apodisation (or windowing), this signal processing technique is simple but its mayor drawback is resolution loss. Spatially Variant Apodisation (SVA) is a non-linear signal processing method that obtains a high sidelobe reduction with no resolution loss. Basic SVA has demonstrate advantages in different SAR scenarios with isolated well focused targets. However, even in that case, SVA results get worse when it is applied to oversampled radar images. A new SVA method is introduced here that obtains greater results with or without oversampling with a few increase of computational burden. This new algorthm has been applied to real ISAR data obtained by a high-resolution radar developed by our research group. | |
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International
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Si |
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Congress
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The IET International Conference on Radar System, Radar 2007 |
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960 |
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Place
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Edinburgh (United Kingdom) |
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Reviewers
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Si |
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ISBN/ISSN
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0537-9989 |
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Start Date
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15/10/2007 |
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End Date
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18/10/2007 |
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