Intelligent Navigation Informatization based On Signal Enhancement Algorithm

Intelligent navigation informatization based on the signal enhancement algorithm is studied in this paper. The uplink of the satellite navigation system is generally difficult to interfere, and only the downlink is easy to interfere, so the anti-interference of the receiver of the navigation satellite system is one of its important indicators. Hence, this study firstly analyzes the signal interference factors, considering that the suppressive interference is the main challenge. Then, the singular value decomposition is compared to serve as the tool for the initial analysis of the collected signal, then the new signal enhancement algorithm is developed by combining the VMD and correlation coefficient. VMD assumes that each modal function is a core finite bandwidth around the center frequency, and realizes signal adaptive decomposition by searching for the optimal solution of the constrained variational model, and the K value optimization is considered to improve the designed model. After applying the model into the designed navigation informatization framework, the model is implemented. Through the testing, the simulation result on variation diagram of equivalent carrier-to-noise ratio of the satellite navigation signal under different pulse interference shows the performance of the designed model.