Abstract:
Recently, the sparse \ell _{1} -alternating direction method of multipliers (ADMMs)-based estimation algorithm was introduced for scanning radar, resulting in signific...Show MoreMetadata
Abstract:
Recently, the sparse \ell _{1} -alternating direction method of multipliers (ADMMs)-based estimation algorithm was introduced for scanning radar, resulting in significant enhancements of the azimuth-pitch angular resolution. Regrettably, not only this method selects the hyperparameters manually, but also its time and space complexity increases rapidly with the data size, which restricts the capacity for applying the hardware system. To this end, a 2-D weighted sparse iterative algorithm is derived in this letter, allowing for the hyperparameter-free and efficient sparse reconstruction result of scanning radar for the simultaneous azimuth-pitch resolution enhancement. The proposed method is a fast 2-D extension of the current weighted sparse iterative covariance-based estimation (WSPICE) algorithm, which not only offers much less computational and storage cost, but also enjoys adaptability with no hyperparameter and finer resolution. Experimental results of simulation and measured data demonstrate the advantage of the proposed method in azimuth-pitch resolution enhancement for scanning radar.
Published in: IEEE Geoscience and Remote Sensing Letters ( Volume: 20)