41results about How to "To achieve the purpose of anti-interference" patented technology

The present invention discloses a wireless network access system and a method, which are used for facilitating a router to access to a wireless network. According to the invention, the system comprises an acquisition module for acquiring a plurality of configuration parameters of the wireless network surrounding the router, wherein the configuration parameters are composed of a wireless channel and the signal strength; a processing module used for conducting the classification statistics on the configuration parameters of the wireless network acquired by the acquisition module so as to form a query file; a detecting module used for detecting and judging whether a maximum signal strength is larger than a first signal strength threshold or not, wherein when the maximum signal strength is larger than the first signal strength threshold, further judging whether a terminal device is accessed to the wireless network of the router or not; on the condition that no terminal device is accessed to the wireless network of the router, sending out a first detection signal; on the condition that a terminal device is accessed to the wireless network of the router, sending out a second detection signal; a switching module used for receiving the first detection signal and switching the wireless channel of the router to a wireless channel with fewest networks; and a power enhancement module used for receiving the second detection signal so as to increase the wireless transmission power of the router.

The invention discloses a cognitive anti-jamming communication method based on a reinforcement learning algorithm. First, use spectrum sensing to obtain interference-free channels and power, form subsets composed of different frequency channels and transmit power, and mark the index values ​​of each subset, all these subsets constitute a candidate resource set; then, at the initial moment, Each node traverses all subsets, calculates the node's metric value for each subset, and obtains the set of all subset metric values ​​corresponding to the node; again, the node selects a subset corresponding to the maximum metric value from the set of corresponding metric values Set, update the metric value corresponding to the subset; finally, iteratively calculate the metric value within the time range T, and the subset corresponding to the largest metric value can maximize the node throughput. The present invention learns an optimal strategy by using a reinforcement learning algorithm, and each node independently adjusts channel selection and power distribution, so as to maximize the throughput of the anti-interference communication system and achieve the purpose of anti-interference.

The invention discloses a UAV anti-jamming method for joint trajectory planning and spectrum decision-making, which includes: S1, modeling the UAV user loss and optimization problem according to the actual communication scene; S2, dividing the optimization problem into two Two aspects: trajectory planning and spectrum decision-making; first use the solution method of convex optimization to plan the trajectory of UAV users, then model the spectrum decision-making problem as a Stackelberg game, and solve it through hierarchical learning, and finally realize the trajectory and spectrum joint optimization. The present invention can jointly optimize the above two dimensions of trajectory optimization and frequency decision-making, realize the anti-jamming goal of UAV users, further improve the efficiency of UAV communication, and make UAV users efficient when flying with limited energy consumption. Complete target communication missions.