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FPGA-based anti-interference method for unmanned aerial vehicle GPS antenna

A GPS antenna and UAV technology, applied in the field of anti-jamming, can solve problems such as high computational complexity and difficult implementation, and achieve the effects of simple implementation, improved output signal-to-interference ratio, and reduced computational complexity and computational complexity.

Pending Publication Date: 2020-11-27
西安爱生无人机技术有限公司
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AI Technical Summary

Problems solved by technology

[0006] In order to solve the current GPS UAV anti-jamming method using STAP technology, due to the high computational complexity of the time-domain LCMV al

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  • FPGA-based anti-interference method for unmanned aerial vehicle GPS antenna
  • FPGA-based anti-interference method for unmanned aerial vehicle GPS antenna

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Embodiment Construction

[0036] Such as Figure 1-2 Shown, the anti-jamming method for unmanned aerial vehicle GPS antenna based on FPGA provided by the present invention comprises the following steps:

[0037] 1) m times extraction and windowing operation

[0038] 1.1) The n*2 orthogonal baseband signals obtained after digital down-conversion of the n-way intermediate frequency signals are m-fold extracted to the n*2 road baseband signals, and both n and m are natural numbers greater than 1; the m-fold extraction is It means that only 1 data is taken as valid data out of every m data;

[0039] 1.2) Perform windowing operation on the n*2 orthogonal baseband signals obtained after m times of extraction, the window function of windowing operation adopts generalized Hamming window, the window length is L, and L is equal to the number of points of floating-point FFT;

[0040] 1.3) Outputting n*2 orthogonal baseband signals after windowing is completed;

[0041] 2) Floating-point FFT transformation, whi...

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Abstract

The invention belongs to the technical field of unmanned aerial vehicle anti-interference, and particularly relates to an FPGA-based anti-interference method for an unmanned aerial vehicle GPS antenna, so as to solve problems of high calculation complexity and difficult implementation of a GPS unmanned aerial vehicle anti-interference method adopting an STAP technology at present due to the adoption of a time domain LCMV algorithm. According to the method, m times of extraction and floating point FFT conversion are firstly carried out on a received intermediate frequency signal to obtain a frequency domain signal, and frequency search and confirmation are carried out on an interference signal in the frequency domain signal, so that trapped waves are generated at the position of an interference frequency domain, and narrow-band interference, continuous wave interference and out-of-band interference are suppressed; then, through a power inversion LCMV algorithm, the power of the output signal is minimum; finally, the frequency domain signal is converted back to the time domain signal through floating point IFFT inverse transformation, a good improvement effect is achieved on the output signal-to-interference ratio, no prior information is needed, the calculation complexity and the calculation amount are greatly reduced, and implementation is easy.

Description

technical field [0001] The invention relates to an algorithm, in particular to an anti-jamming method for the GPS antenna of a drone. Background technique [0002] Anti-jamming processing of GPS signals is an important part of GPS receivers. The quality of anti-jamming performance directly affects the effect of subsequent signal capture and tracking. If the anti-jamming performance is too poor, it may lead to capture failure. The existing GPS anti-jamming technology mainly uses the space-time two-dimensional joint anti-jamming algorithm (STAP). [0003] The idea of ​​STAP processing is to extend the one-dimensional time domain, frequency domain and spatial domain filtering to the two-dimensional domain of time and space, forming a space-time two-dimensional processing structure. Under the model of superimposing definite signals in the background of Gaussian noise, the space-time two-dimensional joint adaptive processing structure derived from the generalized statistical lik...

Claims

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Application Information

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IPC IPC(8): G01S19/21
CPCG01S19/21
Inventor 杨翠翠樊立明安斌周明马远超王剑飞袁钟达李晨曦杨健杨格非汪强黄迟王水张恬胡晶
Owner 西安爱生无人机技术有限公司