This paper investigates the problem of detecting the strong scatterers by use of inverse synthetic aperture radar (ISAR). Three methods are proposed. They are maximal average amplitude, minimal entropy and maximal energy. The proposed methods are compared with the existed approach i.e. minimal variance. We carry out the experiment by processing the live data of Boeing-727 aircraft provided by Prof. B.D. Steinberg. The detection results are given graphically. Based on the detected strongest scatterer of target, we perform the phase compensation of ISAR by the scatterer reference method. The reconstructed image of Boeing-727 is also shown.
Detecting the strong scatterers of target with ISAR
1995-01-01
261368 byte
Conference paper
Electronic Resource
English
Detecting the Strong Scatterers of Target with ISAR
British Library Conference Proceedings | 1995
|Selective Identification of Radar Target Scatterers Using Isar Techniques
British Library Conference Proceedings | 1991
|Imaging of Point Scatterers from Step-Frequency ISAR Data
Online Contents | 1993
|Target Classification for 3D-ISAR Using CNNs
IEEE | 2024
|