Multi-radar data fusion imaging based on iterative adaptive algorithm
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The range resolution of the traditional single radar imaging system is limited by the bandwidth of the transmitted signal, resulting in poor image quality. This paper presents a multi-radar data fusion imaging method based on iterative adaptive algorithm (IAA). Based on the radar echo sparse representation model, this method uses the echo data of different radars to minimize the target cost function under the weighted least squares criterion. Then, we can obtain the sparse parameters and get echo data of the unknown band by interpolation and extrapolation. Finally, we realize the fusion process by getting of the radar echo of the full band. The simulation results show that the image quality is improved by the resolution of the broadband echo after fusion, which is better than that of the single sub-band, verifying the effectiveness of the method.
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