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This paper investigates the robust wideband channel estimation problem in themillimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) systems.In such a scenario, the beam squint effect that the array response vectors varywith different frequencies and the impulsive noise are in existence, which posegreat challenges for accurate channel estimation. Directly applying theexisting channel estimation methods usually suffers significant performancedegradation, since they are proposed based on the assumptions offrequency-invariant array response vectors and Gaussian distributed noise. Toaddress these issues, this paper proposes a novel wideband channel estimationmethod with robustness to impulsive noise. Specifically, the proposed methodincorporates a cyclic refinement step to overcome the estimation inaccuracycaused by the greedy nature of matching-pursuit-esque algorithms. Inparticular, the generalized $\ell_p$-norm minimization criterion is adopted inNewton's method to improve the performance robustness against the non-Gaussianimpulsive noise. Numerical results are provided to verify the superiorperformance of the proposed method over the existing representative benchmarks.

Robust Wideband Channel Estimation for mmWave Massive MIMO Systems With Beam Squint