Integer Ambiguity Parameter Identification for Fast Satellite Positioning and Navigation Based on LAMBDA-GWO with Tikhonov Regularization

Satellite positioning is one of the main navigation technologies in unmanned aerial vehicles (UAVs), accuracy which has an important impact on safety, stability, and flexibility UAVs. The parameters integer ambiguity are factors affecting satellite positioning. However, cannot be guaranteed when only a few epoch data can obtained fast such that identification matrix seriously ill-conditioned information position deviation enlarged. In this paper, error checking correcting strategy proposed, where Least-square Ambiguity Decorrelation Adjustment-Grey Wolf Optimization (LAMBDA-GWO) Method combined with Tikhonov regularization method developed to improve for More specifically, LAMBDA-GWO first used search parameters. To reduce ill-condition parameter matrix, introduced regularize reliable floating-point solution obtained. Furthermore, correctness checked according prior initial coordinates Total Electron Content (TEC), part fails test corrected by Grey (GWO) Method. Finally, experimental studies based 522 m baseline 975 show success rates proposed both above 99%, 12% 23% higher than traditional LAMBDA, respectively.