Numerical studies of the detection of targets embedded in clutter by using angular correlation function and angular correlation imaging

✍ Scribed by Guifu Zhang; Leung Tsang; Yasuo Kuga

• Publisher: John Wiley and Sons
• Year: 1998
• Tongue: English
• Weight: 198 KB
• Volume: 17
• Category: Article
• ISSN: 0895-2477
• DOI: 10.1002/(sici)1098-2760(19980205)17:2<82::aid-mop3>3.0.co;2-e

✦ Synopsis

We study a detection method for targets embedded in a clutter en¨ironment based on the 3-D angular correlation function ( ) ACF . The clutter is modeled by randomly distributed small scatterers. The total scattered wa¨e field at the recei¨er is calculated using Monte Carlo simulations, and is used for the calculation of ACF and angular correlation imaging. The angular correlation imaging consists of calculating the angular correlation function with focusing on desired locations.

( ) Compared with the traditional SAR field imaging, the correlation ) imaging has two ad¨antages: 1 it has finer resolution than the field ) imaging, and 2 it can smear the speckle due to random scattering to make the target more conspicuous. We will show the angular correlation ( ) imaging method can be added to synthetic aperture radar SAR systems to make them more effecti¨e in obtaining information about the targets and suppressing clutter. We will also discuss general methods of correlation imaging.