To achieve accurate localization and tackle the inevitable dual challenges of ill-posedness and strong nonlinearity in limited-aperture translational target inversion, this paper proposes a novel integrated scheme that synergistically combines a domain contraction (DC) strategy with wavelength-dependent weighting (WW) of multi-frequency data. The DC strategy dynamically reduces the solution space to mitigate ill-posedness and enhance stability, while the WW strategy strategically prioritizes lower-frequency data to mitigate nonlinear effects. This organically integrated approach, termed the domain-contracted wavelength-dependent weighting RMC-CC-CSI (DC-WW-RMC-CC-CSI) algorithm, enables a more robust and efficient inversion process. Simulation results demonstrate that our DC-WW scheme delivers significant improvements over the baseline RMC-CC-CSI method in imaging accuracy, convergence speed, noise robustness, and computational efficiency.
Lin et al. (Tue,) studied this question.