Detection Simulation of Entanglement Intrusion Signal in Underwater Warfare Communication Network

In the non coherent underwater combat communication network, the underwater acoustic communication is different from the traditional communication network, and the wireless link capacity under water is much lower than the wireless link capacity of the land. It is easy to be influenced by the underwater physical noise and external disturbance. The external intrusion feature is entanglement with the underwater acoustic interference. The entanglement feature is apparent, and it has the uncertain feature distortion. The traditional detection method takes the pattern threshold matching method, once entanglement feature is occurred, it results in distortion. So it is hard to detect the intrusion feature of underwater combat communication network effectively. Therefore, an improved entanglement intrusion signal detection method is proposed based on fuzzy support vector machine algorithm. The principal component analysis method is used to reduce the complexity of the data, and delete the redundant data. On the basis of the support vector machine theory, the intrusion signal detection is realized. Simulation result shows that the improved algorithm can effectively detect the entanglement intrusion signal of underwater combat communication network, and the detection accuracy is improved greatly.