According to the ship-borne radar data processing, the problem of registration of multiple ship-borne 3D radars using common targets tracked by the radars was examined, and a real-time registration algorithm was developed to absolutely align the radar equivalent biases. First, we explicitly avoid the individual biases and instead use equivalent biases modeling the four main class biases, which leads to a highly nonlinear bias model that contains 12 unknown parameters. Then, we use the singular value decomposition (SVD) within least-squares estimator to automatically handle the issue of parameter observability. Finally, according to simulation scene, we demonstrate that our algorithm can improve track accuracy, especially for ship-borne radar.
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