Abstract
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.
Highlights
Radar is emerging as an outstanding tool for the acquisition of a target at long range, in all weather, in day and night circumstances
Since Inverse synthetic aperture radar (ISAR) imaging is mainly applied to image non-cooperative moving targets, the quality of the images is mainly determined by the performance of motion compensation of the radar echoes
Speed compensation is the first step of motion compensation for ISAR imaging, which is developed to eliminate the effect of speed on the range profiles
Summary
Radar is emerging as an outstanding tool for the acquisition of a target at long range, in all weather, in day and night circumstances. Inverse synthetic aperture radar (ISAR) imaging is an active imaging technology, which can provide a two-dimensional high-resolution image of the moving target. As far as the radar system for speed compensation is concerned, the ISAR system usually is accompanied by the narrowband mode, which conducts the functions of searching and tracking the target This radar system mode rarely provides high enough precision for the target speed for ISAR imaging, while inducing implementation difficulties in the radar system. FRFT can obtain the high-resolution range profile (HRRP) of the target without estimating the speed, but its performance is sensitive to noise and can hardly satisfy the requirement of ISAR imaging in low SNR conditions.
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