Multi-radar target parameter estimation and fusion based on attribute scattering centre model

Abstract

This study proposes a method of observing the same target from different radars to extract more useful target information, solving the problem of target occlusion in monostatic radar. This study uses the parameter estimation method of two-dimension compressed sensing algorithm based on the attribute scattering centre model to get the location, length and attitude angle of the target from different radars. The algorithm can reduce the memory, solving the problem of increasing data volume caused by multi-radar observations. Simulation results are used to verify the effectiveness of the method. The multi-radar imaging processing can also improve operation efficiency and enhance the visibility of the image, which is conducive to target recognition.

Keywords

• parameter estimation
• radar imaging
• image fusion
• estimation theory
• compressed sensing
• image enhancement
• object recognition
• attribute scattering centre model
• target occlusion
• monostatic radar
• multiradar imaging processing
• target recognition
• multiradar target parameter estimation method
• multiradar target fusion method
• two-dimension compressed sensing algorithm
• image enhancement