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Research on the Anti-Interference Method of the Network-Based Electric Data Link Based on Kalman Filter

The network electric data link is interfered by the electromagnetic radiation field and the thermal noise, and the anti-interference detection design, the electromagnetic radiation field and the thermal noise are required to be expressed as a group of low-resolution random data, Resulting in poor accurate detection of the network electrical data link. In this paper, a cooperative anti-interference detection algorithm based on cascaded Kalman filtering is presented. a network electric data link detection data flow information model and a noise interference model in a strong electromagnetic radiation interference environment are constructed, The network electric data link is mapped into a group of non-linear random bandwidth oscillation signal models, and the signal detection algorithm is used to realize the cooperative anti-interference detection of the network electric data link. The simulation results show that the cooperative anti-interference detection of the network electric data link is carried out by using the algorithm, and the anti-interference detection accuracy of the network electric data link is high, and the anti-interference and anti-interference detection method has higher anti-interference and robustness.