9 results about "Fire-control radar" patented technology

This invention discloses a multi-frequency, multi-target range-velocity deambiguation method and system based on phased array fire control radar, mainly addressing the low accuracy of existing methods in handling multi-target ambiguity. The implementation scheme is as follows: acquiring measurement points from the phased array fire control radar and generating a full-space candidate point set; discretizing the range-velocity plane into a grid, counting the number of candidate points and non-repeating frequency groups within each grid block; dividing the grid into blocks based on block-level neighborhood statistics to generate the candidate point set; calculating the unique frequency support number of the candidate point set and performing clustering to obtain candidate point clusters; statistically estimating the candidate point clusters, outputting target range and velocity estimates, forming the deambigued target set for the current frame. This invention can reduce the probability of false clustering structures formed by erroneous unfolding points, clutter points, and false alarm points, improving the accuracy and real-time processing efficiency of multi-target range-velocity joint deambiguation in complex scenarios, and can be used for multi-target signal processing and target tracking in phased array fire control radar.

The present application relates to airborne fire control radar technical field, disclose a kind of swash plate machine phase scanning radar installation angle self-adapting correction method, respectively obtain the target angle before and after radar array rotation, according to the target angle before and after rotation, respectively calculate the geographic system target angle centroid before and after rotation, and predict the predicted angle of target after rotation;Convert the geographic system target angle centroid to radar system, calculate the installation angle correction value;Real target angle is calculated using the installation angle correction value updated installation angle.The present application can be through the change of target angle in the process of long-distance target tracking with servo angle to deduce servo actual angle deviation, improve target tracking precision by real-time correction this deviation.

The present invention discloses a method for simulating airborne fire control radar signals based on a drone. The method is implemented based on an airborne fire control radar simulation device installed on the drone. The method comprises the following steps: setting an airborne fire control radar transmit signal and establishing radar transmit signal parameters according to the detection mode of the fighter jet's onboard fire control radar; setting a maneuvering scenario of the fighter jet to be simulated and establishing a corresponding maneuvering scenario description according to the fighter jet's maneuvering mode; calculating the corresponding attitude and speed characteristics of the fighter jet at a certain moment based on the set maneuvering scenario; calculating the deviations of multiple parameters of the simulated airborne fire control radar of the drone under the maneuvering scenario based on the obtained attitude and speed characteristics; and adjusting and compensating the deviations of the radar transmit signal parameters based on the current UAV airborne radar transmit waveform based on the above results, thereby achieving realistic simulation of the airborne fire control radar radiation signal under the maneuvering scenario. The present invention can achieve the purpose of realistically simulating the airborne fire control radar signal of the fighter jet under the maneuvering state.

The application relates to the technical field of radar scanning system identification, and discloses an airborne fire control radar scanning system identification method and system. The method adopts a quadratic polynomial to fit a search envelope of a target radar, calculates a fitting error by using a model obtained through fitting, and finally compares the fitting error with a set threshold value to determine the scanning system type. The application solves the following problems existing in the prior art: under a complex environment, signal measurement error is increased or there are more pulse losses.

The invention discloses an efficient software architecture design method based on a domestic DSP, and belongs to the technical field of airborne fire control radars, and the method specifically comprises the steps: (1) based on SRIO doorbell interruption response, doorbell information is interrupted and responded through a hardware bottom layer, and doorbell rapid response and judgment are realized; (2) on the basis of an inter-core communication mechanism of IPC interruption and a message queue, inter-core rapid communication is realized, and the robustness of the system is improved; and (3) multi-core parallel processing is started through the message queue, and efficient information sharing and inter-core synchronization among multiple cores are realized through a multi-core synchronization mechanism based on a query mode, so that an efficient software architecture based on multi-core processing is realized, the signal processing capability is improved, and the scale of processing hardware is reduced.

The invention discloses a simulation environment construction method, device and system for over-the-horizon air combat and a medium. The method comprises the steps that a high-fidelity aerodynamic model is constructed, and the aerodynamic model comprises a six-degree-of-freedom aerodynamic model of an unmanned aerial vehicle and a three-degree-of-freedom aerodynamic model of an over-the-horizon air-to-air missile; constructing a sensor model, wherein the sensor model comprises an airborne fire control radar sensor model and a missile infrared seeker sensor model; a reward function is constructed, battlefield situation is quantitatively evaluated, and a learning target is provided for reinforcement learning algorithm training; and packaging the constructed simulation environment into a standardized reinforcement learning interface to support interaction of a state space and an action space, and realizing efficient coupling of a reinforcement learning algorithm and the simulation environment through a parallel simulation acceleration and asynchronous communication mechanism. According to the method, a simulation environment for the beyond-visual-range air combat is constructed, and high-adaptability simulation technical support is provided for algorithm training and tactical verification of the intelligent beyond-visual-range air combat.

The present application relates to airborne fire control radar technical field, disclose a kind of electronic warfare angle measurement ambiguity confirmation method based on radar beam, first according to the phase difference of obtaining angle measurement element receiving echo, the phase angle transformation relationship is used to accurately solve target angle, to the angle of part existing phase ambiguity, using radar and with protection beam to suspected angle target is again detected signal, confirm whether target truly exists in the angle, eliminate angle ambiguity, judge the actual target angle, to realize accurate angle measurement.The method is not restricted by antenna size and other hardware conditions, the implementation method is more feasible, and the calculation method is simple, under the premise of not affecting the normal work of radar, can realize active detection to the initially estimated target angle, more real-time.

The invention discloses an airborne radar variable scale mutual exclusion waveform subset design method, and belongs to the field of airborne fire control radar systems, and the method comprises the steps: initializing airborne radar waveform parameters and performance indexes; designing waveform parameters and mutual exclusion performance indexes to generate a variable-scale mutual exclusion subset; and performing mutual exclusion waveform screening according to the non-fuzzy distance and the non-fuzzy speed index. According to the method, an airborne radar confrontation waveform variable scale mutual exclusion subset is optimally designed, so that waveform agility in a single task period of the radar is not repeated, and the problem that an existing airborne radar waveform is easy to intercept and sort is solved; the method can be suitable for an existing airborne radar system, can generate a mutual exclusion waveform set meeting different detection capability requirements under the condition that hardware can be realized, expands the waveform complexity and the frequency spectrum utilization rate, and improves the radar search efficiency; the problem that an existing airborne radar is fixed in waveform and easy to detect and sort can be solved, and the detectability of the airborne radar in a complex confrontation environment is improved.

This invention provides a land-sea separation method and system based on radar echoes, relating to the field of radar signal processing. The method includes: when detecting the sea using a carrier fire control radar, coarsely locating the land segment using a digital map; then, based on radar echo information, statistically analyzing the average clutter power information of the land and non-land segments, setting a search threshold, and searching forward and backward for the start and end distances of the coarsely located land segment to obtain precise land segment information. This achieves the technical effect of eliminating the impact of inaccurate land-sea separation processing on target detection and reducing false alarms in carrier fire control radar detection of the sea. It solves the technical problems of high computational complexity, large real-time processing workload, and low accuracy and reliability of results in existing land-sea separation algorithms.