Given data collected from a moving object by a linear FM radar, we process the echoed data into a 2-D image of the object’s reflectivity. In this problem, motion compensation is the key to a good reconstructed image.

In the normal case, assume we have knowledge of the radar system parameters but no priori knowledge of the movement of the unknown object. Fortunately, besides the radar data of an object, here we also have access to its GPS data, which reflect the movement of the object. In this project, we would study and compare normal motion compensation and GPS aided motion compensation for ISAR imaging.

• ISAR model from the viewpoint of signal processing;
• Data sets;
• Imaging with Normal motion compensation;
• Imaging with GPS aided motion compensation;
• Compare and analyze the two scenarios

• With GPS data as additional input, the GPS aided motion compensated image should be better than the normal compensated image.
• The reasons for failure of normal motion compensation could be exposed by comparison the two imaging methods.

Stage 1: Idea, Theory, and Model; 10/10

Stage 2: Algorithms and Implementation; 11/15

Stage 3: Analysis, Conclusion, and Report 12/1

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