8 results about "Cognitive radio" patented technology

The application discloses a method for interference utilization of a reconfigurable intelligent surface assisted cognitive non-orthogonal multiple access network, and comprises the following steps: constructing a reconfigurable intelligent surface assisted downlink cognitive radio non-orthogonal multiple access system; a superposition coding is adopted by a base station to send signals to all users, and a joint optimization of an active beamforming vector of the base station and a passive reflection phase shift matrix of the reconfigurable intelligent surface is performed to construct a constructive superposition signal for direct detection of a secondary user; the secondary user directly demodulates own data through a single user detector without performing serial interference cancellation (SIC) based on the constructive superposition signal; by utilizing the intelligent reconstruction of a wireless propagation environment by the reconfigurable intelligent surface, the application adopts a constructive interference technology to convert strong interference of a primary user into a constructive signal of a secondary user; the mechanism realizes direct detection through the constructive interference design, greatly simplifies the receiving and processing of the secondary user and reduces the time delay.

This invention discloses a cognitive radio frequency (RF) signal digital fusion processing method, belonging to the fields of RF communication, software-defined radio, and radar signal processing technology. Based on a star-shaped decoupled architecture of "RF front-end - fusion processing center - digital processing back-end," this method achieves unified access and resource sharing of multiple heterogeneous RF front-ends through multi-source fusion access scheduling; adaptive analog conditioning regulates levels and bandwidth; end-to-end synchronous synchronization establishes a unified timing reference for the entire process; synchronous digitization and digital domain fusion processing complete signal standardization conversion; and intelligent routing and multi-protocol adaptation enable fusion distribution of multiple types of digital back-ends. This method fundamentally solves the pain points of traditional systems, such as high coupling, weak multi-source fusion capability, poor compatibility, low resource utilization, and insufficient synchronization, and can be widely applied to general signal processing scenarios such as communication, spectrum monitoring, radar detection, and electronic reconnaissance.

This invention discloses a blind detection method for broadband spectrum signals in non-cooperative reception scenarios, belonging to the field of communication signal processing and spectrum sensing technology. Taking the power spectral density estimate of the broadband received signal as input, the method first preprocesses the power spectrum using small-scale closing operations; then, it constructs a multi-scale structuring element set and performs scale-by-scale morphological opening operations and residual peak-shaving iterations on the preprocessed spectrum data to obtain and correct the baseline estimation result; next, it applies one-dimensional total variational denoising to the baseline-corrected spectrum; finally, it uses a hysteresis dual-threshold mechanism to complete the candidate signal region screening and statistics. This invention effectively overcomes the problems of non-flat noise baseline fluctuations in complex electromagnetic environments and signal edge blurring under low signal-to-noise ratio conditions. It has advantages such as high baseline estimation accuracy, high detection probability, low false alarm rate, and strong robustness, and is suitable for signal detection scenarios in cognitive radio, broadband reconnaissance receivers, and spectrum monitoring equipment.

The application discloses a kind of cognitive radio spectrum sensing device and method based on quantum compressed sensing, belong to cognitive radio technical field.Aiming at the problems in prior art, by designing a kind of cognitive radio spectrum sensing device based on quantum compressed sensing, the device includes broadband antenna module, electro-optic modulation microwave photon conversion module, data acquisition module and cognitive radio signal detection algorithm module, each module is sequentially connected, and the whole process from signal reception to spectrum analysis is completed jointly;The present application utilizes quantum compressed sensing to realize sub-Nyquist sampling and high compression ratio broadband multi-frequency microwave signal spectrum measurement, while achieving a detection probability approaching 100% when the photon counting rate is increased to 2 Mcps and the integration time is 40 ms, providing a new strategy for cognitive radio spectrum sensing, decision-making and switching.

This invention relates to the field of cognitive radio, and more particularly to a modulation pattern recognition method based on multi-scale analysis in non-cooperative communication scenarios. The method includes: preprocessing the modulation pattern signal and storing the preprocessed signal as an in-phase orthogonal sequence; converting the in-phase orthogonal sequence into amplitude, phase, and frequency; training a modulation pattern recognition model, which includes a multi-resolution feature extraction network, a cross-scale feature fusion network, and a classification output network. The multi-resolution feature extraction network includes three branches, and the cross-scale feature fusion network includes an improved Transformer coding layer and a cross-scale token fusion module. The improvement lies in integrating a Swish-gated linear unit into the feedforward neural network; and inputting a test set into the trained modulation pattern recognition model to obtain the modulation pattern of the signal. This invention exhibits better recognition performance in scenarios where the received signal has significant residual carrier frequency offset, significant sampling rate offset, and high-intensity noise.

This invention discloses a secure covert communication method based on cognitive radio, investigating a delay-tolerant relay covert unmanned aerial vehicle (UAV) and a cognitive radio framework involving multiple colluding eavesdroppers and listeners. In this framework, a legitimate UAV acts as an airborne relay, enabling communication when the direct link between the ground transmitter and receiver is blocked. Subsequently, considering the uncertainty of the locations of multiple eavesdropping and listening nodes, a robust optimization problem is constructed. By jointly optimizing the UAV's trajectory and power, and the transmitter's transmission power, a tractable version is constructed using Pinsk inequalities, Jensen inequalities, and a binary search method for extremely complex covert constraints. Following this, an algorithm based on alternating optimization is proposed to solve the optimization problem. Achieving low complexity, algorithms based on primal-dual search and continuous convex approximation are designed for each subproblem. Numerical results demonstrate the effectiveness of our proposed algorithm.

This invention discloses a method and system for designing UAV trajectories under conditions of eavesdropping collusion. Addressing the issue of multiple potential eavesdropping collusions with uncertain locations in cognitive radio networks, the method optimizes UAV flight trajectories with the objective of maximizing the system's average secure transmission rate. First, an optimization problem fitting the scenario is constructed. Then, based on the Block Coordinate Descent (BCD) method, the original optimization problem is decoupled into subproblems concerning UAV power and UAV flight trajectory. For each non-convex subproblem, a convex approximation is performed. Finally, an iterative algorithm is used to solve the problem, finding the global suboptimal solution and the optimal UAV flight trajectory.

This invention discloses an intelligent communication method and system based on a private network, relating to the field of intelligent communication technology. The method includes: deploying a broadband cognitive radio front-end at each network-connected terminal, continuously scanning the licensed frequency bands and adjacent frequency bands of the private network, reporting the original scan data to a server, and generating a four-dimensional spectrum map; the server receiving the task flow, performing data segmentation and multi-dimensional encoding to determine distributed coded data; based on the task intent of the task flow, forming a dynamic transmission group according to the network-connected terminals in an electromagnetic environment; and using absolute clock constraints at the edge management end, using the dynamic transmission group as the target communication network, and performing adaptive communication allocation management on the distributed coded data. This solves the technical problems of low spectrum utilization and fixed communication resource allocation methods in existing private network communication technologies, leading to low communication efficiency. It achieves the technical effect of improving the efficiency and resource utilization of private network communication by dynamically forming transmission groups and performing adaptive communication allocation management.