9 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 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 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.

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.