High-resolution ISAR imaging with sparse-spectrum OFDM-LFM waveforms

Abstract

Based on the compressive sensing (CS) theory, an algorithm for high-resolution inverse synthetic aperture radar (ISAR) imaging with sparse-spectrum OFDM-LFM (orthogonal frequency division multiplexing | linear frequency modulation) waveforms is proposed, which achieves high resolution of radar target and also much lower data rate of radar system. In the approach, the OFDM technique is utilized to overcome the velocity sensitivity in traditional broad-bandwidth radar waveforms such as stepped-frequency signals and stepped-frequency chirp signals, and greatly reduce the acquisition time for high resolution range profile (HRRP) synthesis. The simulations validate the effectiveness of the proposed algorithm.