TY - GEN
T1 - Improved Polar Format Algorithm for Maritime Ship Target Imaging in Spaceborne-Maneuvering Platform Bistatic SAR
AU - Li, Zhi
AU - Li, Zhongyu
AU - Li, Junyan
AU - Yang, Qing
AU - Wu, Junjie
AU - Du, Ping
AU - Zhang, Yueyue
AU - Dong, Mingji
AU - Miao, Xin
AU - Liu, Jiaxuan
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Spaceborne-maneuvering platform bistatic SAR (BiSAR) can not only make the high-speed maneuvering platform have the advantages of electromagnetic silence and anti-jamming, but also have the ability of high-resolution imaging of the ship targets in front of the flight, which has an important civil and military value. Due to the characteristics of non-cooperation of the movement of ship target, the imaging of ship target will have serious defocusing problem, and the degree of defocusing of the spaceborne-maneuvering platform bistatic SAR are not the same for ship target under different sea conditions. To solve the problem of defocusing, in this paper, the improved polar format algorithm is proposed for different sea conditions. Firstly, the defocusing problem of moving ship target under different sea conditions are analysed. And, the envelope alignment and particular point method are used to compensate the signal for translational motion. Secondly, when the ship target is in a low sea condition, the polar format algorithm can used for imaging directly, and it can focus well. While in high sea conditions, the defocusing problem will become serious. Thus, this paper process the resulting signal in the wave number domain, and fits the two-dimensional wave number as a third-order polynomial, then extracts the higher-order polynomial that affects the focusing to get the space-variant phase. Then the particle swarm optimization (PSO) is adopted to search for these space-variant phase parameters. Finally, compensating for the space-variant phase by the estimated parameters, and then obtain the focusing image of ship target. The effectiveness of the proposed Algorithm is verified through simulation data.
AB - Spaceborne-maneuvering platform bistatic SAR (BiSAR) can not only make the high-speed maneuvering platform have the advantages of electromagnetic silence and anti-jamming, but also have the ability of high-resolution imaging of the ship targets in front of the flight, which has an important civil and military value. Due to the characteristics of non-cooperation of the movement of ship target, the imaging of ship target will have serious defocusing problem, and the degree of defocusing of the spaceborne-maneuvering platform bistatic SAR are not the same for ship target under different sea conditions. To solve the problem of defocusing, in this paper, the improved polar format algorithm is proposed for different sea conditions. Firstly, the defocusing problem of moving ship target under different sea conditions are analysed. And, the envelope alignment and particular point method are used to compensate the signal for translational motion. Secondly, when the ship target is in a low sea condition, the polar format algorithm can used for imaging directly, and it can focus well. While in high sea conditions, the defocusing problem will become serious. Thus, this paper process the resulting signal in the wave number domain, and fits the two-dimensional wave number as a third-order polynomial, then extracts the higher-order polynomial that affects the focusing to get the space-variant phase. Then the particle swarm optimization (PSO) is adopted to search for these space-variant phase parameters. Finally, compensating for the space-variant phase by the estimated parameters, and then obtain the focusing image of ship target. The effectiveness of the proposed Algorithm is verified through simulation data.
KW - Defocusing analysis
KW - Particle swarm optimization
KW - Polar format algorithm
KW - Ship imaging
KW - Spaceborne-maneuvering platform bistatic SAR
UR - https://www.scopus.com/pages/publications/86000029070
U2 - 10.1109/ICSIDP62679.2024.10869126
DO - 10.1109/ICSIDP62679.2024.10869126
M3 - 会议稿件
AN - SCOPUS:86000029070
T3 - IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
BT - IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
Y2 - 22 November 2024 through 24 November 2024
ER -