A Novel Speed Compensation Method for ISAR Imaging with Low SNR

Sensors

Yongxiang Liu¹  Shuanghui Zhang²  Dekang Zhu²  Xiang Li² 

[1] College of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China;

关键词: ISAR;    radar imaging;    SNR;    cubic phase function;   

DOI  :  10.3390/s150818402

来源: mdpi

【 摘 要 】

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 the target from the wideband radar echo directly, which breaks the limitation of speed measuring in a radar system. With the utilization of non-coherent accumulation, the ICPF-based speed compensation algorithm is robust to noise and can meet the requirement of speed compensation for ISAR imaging under a low SNR condition. Moreover, a fast searching implementation strategy, which consists of coarse search and precise search, has been introduced to decrease the computational burden of speed compensation based on CPF and ICPF. Experimental results based on radar data validate the effectiveness of the proposed algorithms.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.