Paper Info
Title
An Improved Frequency-Domain Image Formation Algorithm for Mini-UAV-Based Forward-Looking Spotlight BiSAR Systems.
Abstract
Mini-unmanned aerial vehicle (UAV)-based bistatic forward-looking synthetic aperture radar (SAR) (mini-UAV-based BFSAR) is much more attractive than the monostatic one because of the flexibility of the system geometry selection as well as its simplicity of system operation, especially with the mini-UAV platform. However, the trajectory of the mini-UAV needs to be accurately modeled since it is very sensitive to the external environment, and the forward-looking configuration results in more severe spatial variance in image formation processing. In the paper, an improved frequency-domain imaging algorithm based on a very accurate slant range model is proposed for mini-UAV-based BFSAR with spotlight illumination. First, a more accurate slant range expression considering the motion characteristics of the UAV and bistatic spotlight configuration is re-derived. Second, a new range nonlinear chirp scaling (NLCS) operator was derived based on the accurate bistatic slant range model. Third, an improved azimuth NLCS operator in the Doppler frequency domain was established for the spotlight illumination of the transmitter and receiver in mini-UAV based BFSAR systems. Finally, the proposed algorithm is validated by both simulations and real datasets.
Year
DOI
Venue
2020
10.3390/rs12172680
REMOTE SENSING
Keywords
DocType
Volume
bistatic forward-looking SAR,non-linear chirp scaling,Doppler frequency domain imaging algorithm
Journal
12
Issue
Citations 
PageRank 
17
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Tao Zeng112025.21
Zhanze Wang201.69
Feifeng Liu3848.83
Chenghao Wang401.01