ISAR Signal Tracking and High-Resolution Imaging by Kalman Filtering

ISAR Signal Tracking and High-Resolution Imaging by Kalman Filtering

Blog Article

In a short observation time, after the range alignment and phase adjustment, the motion of a target can be approximated as a uniform rotation.The radar observing process can be simply described as multiplying an observation matrix on the ISAR image, which can be thought of as a linear system.It is known that the longer observation time is, the higher cross-range resolution is.In order to deal with the conflict between short observation time and high Lamp Shades cross-range resolution, we introduce Kalman filtering (KF) into the ISAR imaging and propose a novel method to reconstruct a high-resolution image with short time observed data.

As KF has excellent reconstruction performance, it leads to a good application in ISAR image reconstruction.At each observation aperture, the reconstructed image denotes the state vector in KF at the aperture time.It is corrected by a two-step KF process: prediction and update.As iteration continues, the state vector is gradually corrected to a well-focused high-resolution image.

Thus, the proposed method can obtain Entertainment Centers a high-resolution image in a short observation time.Both simulated and real data are applied to demonstrate the performance of the proposed method.