A Novel Speed Compensation Method for ISAR Imaging with Low SNR
In this paper, two novel speed compensation algorithms for ISAR imaging under a low signal-to-noise ratio (SNR) condition have been proposed, which are based on the cubic phase function (CPF) and the integrated cubic phase function (ICPF), respectively. These two algorithms can estimate the speed of...
Main Authors: | Yongxiang Liu, Shuanghui Zhang, Dekang Zhu, Xiang Li |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2015-07-01
|
Series: | Sensors |
Subjects: | |
Online Access: | http://www.mdpi.com/1424-8220/15/8/18402 |
Similar Items
-
ISAR Imaging of Nonuniformly Rotating Targets With Low SNR Based on Third Order Autocorrelation Function
by: Yanyan Li, et al.
Published: (2020-01-01) -
A Novel ISAR Imaging Method for Maneuvering Target Based on AM-QFM Model Under Low SNR Environment
by: Li Li, et al.
Published: (2019-01-01) -
High-Resolution ISAR Imaging With Sparse Aperture VFM Waveforms Under Low SNR Condition
by: Jiyuan Chen, et al.
Published: (2019-01-01) -
Echo Preprocessing to Enhance SNR for 2D CS-Based ISAR Imaging Method
by: Zhiping Yin, et al.
Published: (2018-12-01) -
Novel ISAR autofocusing method based on Bayesian inference
by: Xueru Bai, et al.
Published: (2019-07-01)