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Mitigation of Ghost Target Caused by Channel Inconsistency Based on Spectral Energy Reallocation for Azimuth Multichannel SAR
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DOI：10.1109/taes.2026.3713278.png)
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Abstract
En 中文
Azimuth multichannel synthetic aperture radar (SAR) is a key means of achieving high-resolution wide-swath observations. Due to its ability to simultaneously cover a wide area and capture precise scene information, it provides more comprehensive and detailed data support, which is of great significance for remote sensing. However, channel phase inconsistency is an inevitable issue in practical applications, resulting in serious spectral aliasing components in the multichannel signals and consequently the generation of ghost targets. To address the impact of channel phase inconsistency on multichannel imaging, this article proposes an azimuth multichannel SAR ghost target mitigation algorithm based on spectral energy reallocation (SER), which enhances the proportion of ghost target spectral energy relative to the total signal spectral energy through rearranging the azimuth spectrum. With the introduction of the SER operation, the accuracy of ghost target detection is significantly improved, resulting in effective ghost target mitigation. Experimental results based on simulated data and spaceborne multichannel SAR data demonstrate the effectiveness of the proposed algorithm.
Keywords:
Algorithms
Azimuth
Permission
Weighted sum model
Energy
Synthetic aperture radar
Distance measurement
Pixel
Specific absorption rate
Sequences
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