Sign in to use this feature.

Years

Between: -

Subjects

remove_circle_outline

Journals

Article Types

Countries / Regions

Search Results (1)

Search Parameters:
Keywords = complex signal kurtosis (CSK)

Order results
Result details
Results per page
Select all
Export citation of selected articles as:
20 pages, 8370 KiB  
Article
Long Coherent Processing Intervals for ISAR Imaging: Combined Complex Signal Kurtosis and Data Resampling
by Wenao Ruan and Chang Liu
Remote Sens. 2024, 16(24), 4758; https://doi.org/10.3390/rs16244758 - 20 Dec 2024
Viewed by 611
Abstract
Airborne inverse synthetic aperture radar (ISAR) imaging of maneuvering targets is important for maritime surveillance. Long coherent processing intervals (CPIs) can bring better resolution and signal-to-clutter-plus-noise ratio (SCNR). Due to the change in the effective rotation vector (ERV), the conventional Range-Doppler (RD) algorithm [...] Read more.
Airborne inverse synthetic aperture radar (ISAR) imaging of maneuvering targets is important for maritime surveillance. Long coherent processing intervals (CPIs) can bring better resolution and signal-to-clutter-plus-noise ratio (SCNR). Due to the change in the effective rotation vector (ERV), the conventional Range-Doppler (RD) algorithm is not appropriate for producing a well-focused image. To resolve the above issue, we propose a long CPI imaging algorithm through ERV estimation and data resampling. This algorithm estimates the Doppler length of the sub-aperture image by complex signal kurtosis (CSK) at first. Then, the change in the ERV can be estimated because the ship Doppler length is always proportional to the ERV. Finally, the echo is resampled according to the estimation of the time-varying ERV to obtain the echo from a constant ERV. Computer simulation experiments and measured data have verified the effectiveness of the proposed method. Experimental results demonstrate that the proposed method can achieve ISAR imaging with longer CPIs at low SNR and inhomogeneous clutter. Full article
(This article belongs to the Special Issue SAR Images Processing and Analysis (2nd Edition))
Show Figures

Graphical abstract

Back to TopTop