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Unmanned aerial vehicle detection method based on time modulated array

A time modulation, UAV technology, applied in the field of UAV detection, can solve the problems of inaccurate direction finding and inability to detect UAVs, and achieve the goal of improving the antenna response vector, realizing accurate direction finding, and optimizing accuracy. Effect

Active Publication Date: 2019-09-10
BEIHANG UNIV
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Problems solved by technology

[0005] In view of the false spectral peaks generated by the traditional MUSIC method based on the harmonic component of TMA, and the problems of inaccurate direction finding and inability to find direction in the omnidirectional range when detecting UAVs, the present invention provides a time-based UAV detection method based on modulated array

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  • Unmanned aerial vehicle detection method based on time modulated array
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Embodiment Construction

[0030] The technical solution of the present invention will be specifically described below in conjunction with the drawings and embodiments.

[0031] The UAV detection method based on the time modulation array provided by the present invention is an omnidirectional high-resolution UAV detection scheme based on the angle of arrival estimation. Using the subspace algorithm technology of combined signal separation, the single-channel signal is separated into multiple channels through the radio frequency switch of the time-modulated array, so that an improved antenna response vector can be constructed according to the harmonic components after FFT transformation, and the antenna response vector has been achieved. It reduces the estimation error, greatly increases the effective range of DOA estimation, and reduces the sampling frequency during multi-source DOA estimation, which has strong technical advantages and theoretical significance.

[0032] Such as figure 2 As shown, it i...

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Abstract

The invention provides an unmanned aerial vehicle detection method based on a time modulated array, and belongs to the technical field of unmanned aerial vehicle detection. The unmanned aerial vehicledetection method comprises the steps of: combining received multi-channel signals into a one-channel signal after periodical modulation of each antenna unit; performing down-conversion on the combined signal to an intermediate frequency analog signal, and performing sampling through an ADC module to obtain a corresponding digital signal sequence s(n); separating and recombining the digital signals into a plurality of groups of digital signals to obtain harmonic components of each group of signals; combining each group of the harmonic components into a new array signal harmonic vector, and solving an autocorrelation matrix of the new array signal harmonic vector; obtaining a DOA (Direction of Arrival) estimation angle of the signal according to a subspace algorithm of DOA estimation; and resolving the position of a unmanned aerial vehicle according to the estimated DOA of a unmanned aerial vehicle flight control map transmission signal. According to the unmanned aerial vehicle detection method of the invention, the combined one-channel signal is split in a baseband digital signal and time-frequency conversion is performed respectively, thereby improving the direction-finding precision and eliminating false spectral peaks by improving an antenna response vector.

Description

technical field [0001] The invention belongs to the technical field of unmanned aerial vehicle detection, and relates to a method for estimating the angle of arrival of an unmanned aerial vehicle signal based on a modulated antenna array, in particular to a method for detecting an unmanned aerial vehicle based on a time-modulated array. Background technique [0002] With the rapid development of unmanned aerial vehicle (UAV) activities in the air, work on the safety and control of UAV systems has been carried out at home and abroad. All developed countries in the aviation industry have listed the integration of UAV systems into the national airspace system as a national priority. The safety of UAV systems is the focus of public safety and air transportation. Especially in recent years, the phenomenon of "black flying" of UAVs has become serious, and the phenomenon of threatening the safety of people's lives and property has occurred many times. The detection and countermeasu...

Claims

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Application Information

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IPC IPC(8): G01S3/14H04B7/08
CPCG01S3/143H04B7/086
Inventor 白琳张学军陈群
Owner BEIHANG UNIV
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