A Novel Speed Compensation Method for ISAR Imaging with Low SNR

• Main Authors: Yongxiang Liu, Shuanghui Zhang, Dekang Zhu, Xiang Li
• Format: Article
• Language: English
• Published: MDPI AG 2015-07-01
• Series: Sensors
• Subjects: ISAR; radar imaging; SNR; cubic phase function
• Online Access: http://www.mdpi.com/1424-8220/15/8/18402

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.