Method for detecting micro-motion feature of unmanned aerial vehicle (UAV) based on passive radar and cyclic spectrum

A passive radar, feature detection technology, applied in radio wave measurement systems, instruments, etc., can solve the problems of low Doppler frequency, high cost, and difficult to perceive

Inactive Publication Date: 2020-02-28
GUILIN UNIV OF ELECTRONIC TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, UAVs are typical "low, slow and small" targets. The radar scattering area is small, and the echo signal is submerged in strong ground clutter. The energy of the target itself is weak and difficult to accumulate. Clutter is difficult to distinguish in the frequency domain, making it difficult for traditional detection methods to extract micro-Doppler features of UAVs
[0004] At present, most detection methods use active radar, but the cost of active radar equipment is too high, and the concealment is poor. The electromagnetic signal emitted will be discovered and located by the enemy, and then expose itself.
Passive radar does not emit a signal to illuminate the target, so it is not easily perceived by the opponent

Method used

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  • Method for detecting micro-motion feature of unmanned aerial vehicle (UAV) based on passive radar and cyclic spectrum
  • Method for detecting micro-motion feature of unmanned aerial vehicle (UAV) based on passive radar and cyclic spectrum
  • Method for detecting micro-motion feature of unmanned aerial vehicle (UAV) based on passive radar and cyclic spectrum

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Experimental program
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Embodiment

[0068] refer to figure 1 , a UAV micro-motion feature detection method based on passive radar and cyclic spectrum, including the following steps:

[0069] 1) Passive radar DTMB echo signal model and component analysis:

[0070] The DTMB system adopts the TDS-OFDM modulation mode, so the model of the passive radar transmission signal y(t) is:

[0071]

[0072] Among them, f 0 is the radar transmission center carrier frequency, M is the number of multi-carriers, T r is the length of the signal frame, u(t) is the complex envelope of the OFDM multi-carrier signal:

[0073]

[0074] Among them, N is the number of subcarriers, ω n is the frequency weighting coefficient of the nth subcarrier, T p is the pulse width, Δf is the frequency interval between adjacent subcarriers, and satisfies the OFDM condition: Δf=1 / T p , rect(·) is the unit rectangular window function,

[0075] According to the mathematical derivation of micro-Doppler characteristics in radar by scholar Vic...

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Abstract

The invention discloses a method for detecting a micro-motion feature of an unmanned aerial vehicle (UAV) based on a passive radar and a cyclic spectrum. The method is characterized in that the methodincludes the following steps that (1) a receiving device receives a signal to be detected; (2) the cyclic spectrum of the signal to be detected is calculated; (3) the positions and peak sizes of thehighest peak and the second highest peak in a section are searched; and (4) the theory is combined to determine whether detection conditions are met or not. The method has good noise jamming resistance performance, the UAV micro-Doppler feature signal extracting difficulty can be reduced, and the UAV micro-Doppler feature signal can be accurately extracted.

Description

technical field [0001] The invention relates to the field of UAV signal detection, in particular to a method for detecting UAV micro-motion characteristic signals based on passive radar and cyclic spectrum. Background technique [0002] With the development of science and technology, the functions of small drones are getting stronger and lower, and the cost is getting lower and lower, and they are widely used in both military and civilian fields. However, while the UAV market continues to grow, the phenomenon of UAVs flying black is becoming more and more frequent. Incidents such as "navigation", "injury" and "candid photography" occur from time to time, and are even used in criminal activities such as smuggling and terrorist attacks. . Therefore, how to detect UAV signals has been highly valued by all walks of life at home and abroad. [0003] In general, in addition to the main movement of the drone, there is also the rotation of the propeller, and this "micro-motion" wi...

Claims

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Application Information

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IPC IPC(8): G01S7/41
CPCG01S7/411G01S7/418
Inventor 谢跃雷刘信吕国裴吴娟蒋平易国顺蒋俊正欧阳缮廖桂生
Owner GUILIN UNIV OF ELECTRONIC TECH
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