12 results about "Airborne early warning" patented technology

The invention relates to a computer system and a coordination method suitable for that system, which enables airborne early warning and control (AEW&C) air platforms and reconnaissance / intelligence unmanned aerial vehicles (UAVs) to perform distributed task sharing, allowing the continuation of AEW&C missions including airspace surveillance, command and control, reconnaissance, intelligence, communication, computation, and emergency air traffic control even if one or more platforms become inoperable.

The invention relates to a computer system and a coordination method suitable for that system, which enables airborne early warning and control (AEW&C) air platforms and reconnaissance / intelligence unmanned aerial vehicles (UAVs) to perform distributed task sharing, allowing the continuation of AEW&C missions including airspace surveillance, command and control, reconnaissance, intelligence, communication, computation, and emergency air traffic control even if one or more platforms become inoperable.

The present invention provides a method and system for compensating clutter in an airborne early warning radar system under the influence of yaw angle, comprising: acquiring multi-channel airborne early warning radar echo signal data; estimating the space-time power spectrum of the echo signal data and calculating an initial yaw angle estimate based on the Doppler center shift of the space-time spectrum; determining a yaw angle search interval based on the initial yaw angle estimate, calculating the value of a one-dimensional cost function, and obtaining a final yaw angle estimate; and constructing a non-stationary compensation function based on the yaw angle estimate to implement distance-dependent compensation processing in a post-Doppler manner, thereby obtaining echo data after non-stationary compensation. The method proposed in the present invention can effectively achieve distance-dependent compensation processing for clutter signals, overcoming the problem that traditional clutter non-stationary compensation technologies fail to consider the non-stationary compensation problem of a positive side-looking radar system under the influence of an unknown yaw angle.

The application discloses a method for suppressing range ambiguity clutter of an end-on array airborne early warning radar based on subarray synthesis. Firstly, echo signals are subarray synthesized along horizontal rows of an end-on array to form one column of spatial channel data, and then the column of spatial channel data is subarray synthesized along horizontal columns to form one row of spatial channel data, so as to form a cross-shaped horizontal spatial synthesis channel data. Then, the obtained horizontal spatial synthesis channel data is subjected to clutter suppression processing by using a STAP method, so as to effectively filter out the clutter of the end-on array airborne early warning radar. Finally, the data subjected to the STAP processing is subjected to constant false alarm rate (CFAR) detection, so as to realize detection of a moving target. The scheme is suitable for clutter suppression processing of the end-on array airborne early warning radar and has the characteristics of less training sample requirement and low operation complexity.

The invention relates to the technical field of signal processing, and provides an airborne early warning radar main lobe unintentional interference resisting method and device based on frequency domain filtering. The method comprises the following steps: performing interference spectrum estimation through adaptive beam forming and a frequency spectrum estimation algorithm based on a maximum likelihood criterion to obtain a power spectrum density estimator of each frequency point; determining a frequency range of the interference signal according to the power spectral density estimator of each frequency point; a plurality of channels are constructed according to the frequency range of the interference signal, and each channel corresponds to an interference filter; in each channel, filtering the interference signal by using an interference filter to obtain a non-interference signal of each channel, and for color noise caused by filtering, performing noise compensation on the non-interference signal of each channel to obtain a channel output signal of each channel; and selecting the channel output signal with the minimum power as a final output signal. According to the method, main lobe unintentional interference suppression is completed, and the target detection performance of the airborne radar is improved.

The application belongs to the technical field of on-board early warning of ball bearing outer ring peeling faults in an aero-engine, and particularly relates to an on-board early warning method for ball bearing outer ring peeling faults in an aero-engine, which fuses feature quantities extracted based on a wavelet envelope spectrum and a specified frequency band filtering method through fuzzy processing, and constructs a feature quantity for fault warning again, compares the fused feature quantity with a fault threshold value to determine whether a ball bearing outer ring peeling fault occurs, and performs early warning. The overall calculation amount is not large, the calculation speed is relatively fast, and the demand for on-board early warning of ball bearing outer ring peeling faults in an aero-engine can be well met.

The present invention relates to the technical field of signal processing, and provides a method and device for an airborne early warning radar to resist main lobe unintentional interference based on frequency domain filtering. The method includes: performing interference spectrum estimation through an adaptive beamforming and frequency spectrum estimation algorithm based on the maximum likelihood criterion to obtain the power spectral density estimation quantity of each frequency point; determining the frequency range of the interference signal according to the power spectral density estimation quantity of each frequency point; constructing a plurality of channels according to the frequency range of the interference signal, and each channel corresponds to an interference filter; in each channel, using the interference filter to filter out the interference signal to obtain the interference-free signal of each channel, and performing noise compensation on the interference-free signal of each channel for the color noise caused by filtering to obtain the channel output signal of each channel; selecting the channel output signal with the minimum power as the final output signal. The present invention completes the suppression of main lobe unintentional interference and improves the target detection performance of the airborne radar.

This paper proposes a mobile-based, multi-UAV relay laser / RF aviation communication method, comprising the following steps: system model construction and transmission signal analysis; relay scheme selection; channel modeling; and evaluation metric development. This paper employs a mobile-based, multi-UAV relay aviation communication system that connects airborne early warning aircraft (AEW&Cs) with mobile ground stations using a hybrid laser / RF link. This method can effectively improve the reliability and availability of air-to-ground laser links in mobile scenarios.

The present invention relates to an airborne anti-stealth early warning radar and its digital simulation test method and device for the combat environment. The method includes: constructing a combat situation environment and setting up a simulation scenario; deploying combat situation parameters and performing a simulation according to the simulation parameters to obtain simulation data information; generating a radar interference signal based on the combat situation parameters and the simulation data information; calculating and processing the radar interference signal to obtain radar processing data; determining whether the simulation is completed; if the simulation is completed, displaying the radar processing data to obtain a simulation test result. The present invention realizes the planning, deduction, evaluation of anti-stealth early warning radar countermeasures, as well as two-dimensional and three-dimensional situation displays, simulates the search and tracking process of an airborne early warning radar under complex electromagnetic environment conditions, and evaluates the anti-stealth and anti-jamming capabilities of the airborne early warning radar.

The invention relates to the field of FPGA hardware accelerator and aviation equipment fault diagnosis cross technology, in particular to an aero-engine fault sound recognition system based on an FPGA. The system comprises a hardware platform and a function module, the hardware platform is composed of a high-disturbance-rejection sound sensor, a low-power-consumption single-chip microcomputer, a high-performance FPGA chip, a high-speed FLASH chip and an airborne early warning display terminal, and data transmission and interaction are achieved through cooperation of multiple buses; the function module comprises a sound acquisition module, a feature extraction module, a fusion convolutional spiking neural network module and a fault early warning module, and the ICSNN module adopts a CNN and SNN parallel architecture and realizes complementary extraction of time-frequency features and time-sequence features in combination with a sparse convolution technology and an LIF neuron model. The method meets the requirements of low power consumption and low delay of airborne equipment, is high in fault recognition rate and low in omission ratio, and is suitable for real-time monitoring and early warning of hidden faults of aero-engines in high-temperature and high-vibration environments.

The present invention relates to the field of signal processing technology, and provides a method and device for suppressing multipath clutter in an airborne radar. The method comprises: calculating the test statistic of each training sample in a sample set, selecting the training sample corresponding to the median of the test statistic as a reference sample; calculating the Mahalanobis distance between the reference sample and each training sample, using the Mahalanobis distance to perform non-uniform measurement on each training sample to screen out uniform training samples, and determining the unit sample to be detected where the multipath clutter is located; constructing the space-space domain clutter covariance matrix of the unit sample to be detected according to the unit sample to be detected, calculating the rank of the space-space domain clutter covariance matrix, thereby constructing a multi-stage Wiener filter and a blocking matrix, constructing an space-space domain adaptive weight vector according to the multi-stage Wiener filter and the blocking matrix; performing space-time joint processing according to the space-space domain adaptive weight vector to obtain an output signal. The present invention improves the target detection performance of the airborne early warning radar in a complex mountainous multipath clutter environment.

1. Name of the product in this design: Satellite airborne early warning device. 2. Purpose of this design: To visualize satellite reconnaissance data. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model. 5. The left view is symmetrical to the right view, so the left view is omitted.