UAV network radar interference suppression method based on resource allocation and power control

A technology of power control and resource allocation, applied to radio wave measurement systems, instruments, etc., can solve problems such as mutual interference, co-frequency interference, and reduced target detection performance

Active Publication Date: 2020-09-01
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology

Although the research on the above-mentioned unmanned aerial vehicle radar technology can realize collision avoidance, it will face a basic problem that multiple radars may interfere with each other when working simultaneously on the same frequency spectrum, reducing the target detection performance. The purpose of the present invention is to solve the problem. Due to the serious technical defect of co-channel interference in UAV radar technology, a radar interference suppression method in UAV network in complex environment is proposed

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  • UAV network radar interference suppression method based on resource allocation and power control
  • UAV network radar interference suppression method based on resource allocation and power control
  • UAV network radar interference suppression method based on resource allocation and power control

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Embodiment 1

[0069] This embodiment elaborates in detail the steps when the UAV network radar interference suppression method based on resource allocation and power control of the present invention is implemented under different numbers of UAVs.

[0070] This embodiment considers that UAVs are randomly distributed in an area of ​​2km*2km, and each UAV is equipped with a radar sensor to sense non-cooperative targets while avoiding collisions; UAVs transmit radar signals and use echo signals for radar detection. Due to limited spectrum resources and good distance Resolution requirements, some UAVs will be allocated the same spectrum resources. In this case, there is interference between different UAV radar sensors, and the interference increases with the increase in the number of UAVs. For this reason, resource allocation and power control based on UAV network radar interference suppression method to suppress the same frequency interference between UAVs;

[0071] figure 1 It is a flow chart...

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Abstract

The invention relates to a UAV network radar interference suppression method based on resource allocation and power control, and belongs to the technical field of UAV network and radar interference suppression. The method specifically comprises the following steps: step one, traversing all UAVs based on a GCAA method, allocating channels to the UAVs, and generating a channel allocation initial scheme; step two, performing power control based on a geometric programming method to maximize a minimum SINR value of a UAV network radar echo signal; step three, enabling the search space of a channelallocation matrix C to be equivalent to a K-tree; step four, performing branching and delimiting based on breadth-first search to generate an improved channel allocation scheme; and step five, judgingwhether the value is converged or reaches the maximum number of iterations, if so, ending the method, and otherwise, skipping to the step two. The method can effectively suppress the interference problem of the UAV radar network, the minimum SINR of the echo signal is significantly improved, and the detection capability of the UAV network for a long-distance target is effectively improved.

Description

technical field [0001] The invention relates to a UAV network radar interference suppression method based on resource allocation and power control, and belongs to the technical field of UAV network and radar interference suppression. Background technique [0002] In the past few years, unmanned aerial vehicles (UAVs) have received increasing attention and are becoming an important part of 5G mobile networks. Drone communication is a promising approach to improve high-speed temporary connectivity in emergency situations, since drones can be flexibly deployed on-demand to achieve greater service coverage compared to traditional fixed infrastructure. In addition, additional degrees of freedom can be obtained through path planning of drones for higher throughput and coverage. [0003] At present, there are many studies on UAV perception. S. Zhang proposed a UAV cooperative perception transmission protocol to help UAVs collect data and upload it to the base station. In this prot...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/02G01S7/36
CPCG01S7/023G01S7/36Y02T10/40
Inventor 费泽松刘鹏王新奕
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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