Abstract
Conventional range-Doppler (RD) inverse synthetic aperture radar (ISAR) imaging method utilizes coherent integration of consecutive pulses to achieve high cross-range resolution. It requires the radar to keep track of the target during coherent processing intervals (CPI). This restricts the radar’s multi-target imaging ability, especially when the targets appear simultaneously in different observing scenes. To solve this problem, this paper proposes a multi-target ISAR imaging method for phased-array radar (PAR) based on compressed sensing (CS). This method explores and exploits the agility of PAR without changing its structure. Firstly, the transmitted pulses are allocated randomly to different targets, and the ISAR image of each target can be then reconstructed from limited echoes using CS algorithm. A pulse allocation scheme is proposed based on the analysis of the target’s size and rotation velocity, which can guarantee that every target gets enough pulses for effective CS imaging. Self-adaptive mechanism is utilized to improve the robustness of the pulse allocation method. Simulation results are presented to demonstrate the validity and feasibility of the proposed approach.
Highlights
Inverse synthetic aperture radar (ISAR) can generate images of targets with high resolution in two dimensions
3.1 Basic idea of multi-target observation Based on the compressed sensing (CS) ISAR imaging, a multi-target imaging method is proposed for phased-array radar (PAR)
Instead of estimating the sizes and velocities of targets based on the radar crosssection (RCS) and high-resolution range profiles (HRRPs), the quality of real-time imaging results can be employed to evaluate whether the pulse allocation proportion is effective
Summary
Inverse synthetic aperture radar (ISAR) can generate images of targets with high resolution in two dimensions. It usually transmits wideband waveform to obtain highrange resolution and utilizes coherent integration of multi-pulse to achieve high cross-range resolution [1] This is the basic idea of range-Doppler (RD) imaging. The observing sequence is arranged randomly to realize non-uniform sampling in the cross-range dimensions of each target Such random sampling can insure that the measurement matrix satisfies the restricted isometry property (RIP), which is the sufficient criterion for effective reconstruction in CS [13, 14]. Another major contribution of this paper is that we propose a pulse allocating strategy based on detailed analysis of CS ISAR imaging. Experiment results are provided to demonstrate the validity of this observing strategy and imaging method
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