Abstract: The traditional compressive sensing (CS) stepped frequency ground penetrating radar (SFGPR) imaging algorithm usually loses effect in strong clutter environment. To alleviate this problem， a CS SFGPR imaging algorithm based on the subspace projection clutter suppression technique was proposed. The original uniform frequency sampling data at each measurement position were reconstructed from the reduced set of randomly measured data using CS measurement model. Then the subspace projection clutter suppression technique was employed to suppress the strong ground reflection signal. Finally the sparse reconstruction algorithm was used to reconstruct the image of underground targets. The experimental data has verified the validity and effectiveness of the proposed imaging method.

Key words: stepped frequency ground penetrating radar (SFGPR), compressive sensing, subspace projection, imaging algorithm