The misalignment error in differential Magnetic Gradient Tensor measurement Systems (MGTS) significantly constrains their measurement accuracy. Traditional calibration methods, which rely on uniform magnetic fields and non-magnetic precision turntables, struggle to adapt to complex electro-magnetic interference environments. This study proposes a dynamic magnetic excitation-based misalignment calibration method that achieves efficient sensor array calibration by extracting time-varying magnetic