5 results about "Cognitive radar" patented technology

In view of the problem that existing active jamming waveforms are difficult to counter the cognitive radar waveforms, the present application discloses a radar active jamming waveform library, which comprises a jamming task information acquisition and analysis module, a suppression jamming parameter analysis and judgment module, a deception jamming parameter analysis and judgment module, a smart jamming parameter analysis and judgment module, a suppression jamming waveform module, a deception jamming waveform module and a smart jamming waveform module. The suppression jamming waveform module comprises a classical suppression jamming waveform library, a suppression jamming waveform design rule library, a suppression jamming waveform design rule updating module and a suppression jamming waveform design module; and the smart jamming waveform module comprises a jamming modulation waveform library, a jamming modulation waveform design rule library, a jamming modulation waveform design rule updating module and a jamming modulation waveform design module. The present application realizes flexible, complete and adaptive jamming waveform design, and improves the jamming capability of the active jamming system against complex radar waveforms.

The application discloses a kind of under combined constraint based on directional diagram matching anti-interference waveform design method, establishes the MIMO cognitive radar system of antenna layout using uniform linear array;Directional diagram model is constructed;Under the condition that waveform constant modulus constraint and similarity constraint are satisfied, the problem model of directional diagram matching design based on minimum mean square error criterion is established;For optimization problem under combined constraint, the similarity constraint is simplified using Lagrange multiplier method, and only the optimization problem with constant modulus constraint is obtained;The geometric characteristics of non-convex constraint are excavated, the constant modulus constraint is associated with Riemannian manifold in nature, so that the constrained non-convex optimization problem is converted into an unconstrained convex optimization problem on the manifold;Based on optimization algorithm, the optimization problem model on the manifold is solved, and the anti-interference waveform is obtained.The application can generate optimal transmit waveform to resist specific interference, significantly improve the efficiency of transmit beam directional diagram matching, and obtain transmit waveform with better blur characteristics.

The invention provides a self-adaptive environment cognitive radar system based on waveform optimization and an optimization method, and belongs to the technical field of radar systems.The system comprises a radio frequency module and a baseband signal processing module connected with the radio frequency module, and the baseband signal processing module comprises a processing system unit and a programmable logic unit; the programmable logic unit adopts a waveform optimization algorithm to process the preprocessed digital echo signal so as to dynamically generate an anti-interference waveform digital signal for next signal emission; the waveform optimization algorithm is a closed-loop iterative algorithm based on environmental perception and a signal-clutter-noise ratio maximization criterion; the processing system unit adopts a preset radar signal processing algorithm to process the preprocessed digital echo signal; the programmable logic unit and the processing system unit work cooperatively in parallel to form a first processing link for dynamic waveform optimization and a second processing link for radar signal processing. The method has the advantages of real-time environment cognition, dynamic spectrum optimization and efficient parallel processing.

The application discloses a dynamic modeling method of a hidden Markov model, defines radar-jammer as a master-slave confrontation mode, namely, when the radar is not interfered, sets an information scheduling strategy matrix A and a transmission pulse time-frequency parameter control strategy matrix B in a coherent processing time according to a target detection task of the radar, and generates a transmission pulse sequence. An interference party extracts radar state parameters and estimates the information scheduling strategy matrix A and the transmission pulse time-frequency parameter control strategy matrix B of the radar by using intercepted radar pulses, formulates an interference strategy matrix A j and a jamming signal time-frequency parameter control strategy matrix B j , and sends a jamming signal to the radar, wherein the radar estimates the A j and B j of the interference party after receiving the jamming signal. Whether the interference is effective is judged, and the matrixes A and B are adjusted accordingly, and the process is repeated, so that dynamic modeling of cognitive radar confrontation can be realized.

This invention discloses a multi-index power resource collaborative allocation method based on cognitive radar threshold constraints, comprising: constructing a feasibility-aware utility function set according to the performance threshold constraints and radiation concealment threshold constraints of radar multi-target tracking tasks; training and generating a power allocation strategy set covering different risk preferences based on the utility function set; iteratively detecting and filling the front gaps according to the Pareto front coverage of the strategy set, and outputting a complete strategy library to support dynamic power allocation decisions. This invention introduces a utility expression mechanism with performance threshold gating to suppress unusable extreme strategies and improve training efficiency; and combines a Pareto front gap detection and completion mechanism to construct a distributed Pareto strategy library covering different risk preferences, thereby providing beam power allocation strategies that balance reliability and concealment for different task requirements.