2018 China Graduate Mathematical Modeling Contest E title

Careful study of the calendar year postgraduate mathematical modeling contest type a question, you will find almost every year in the relevant test aircraft, unmanned aerial vehicles such problems, therefore, it is necessary to take this class will be a topic summarized.

2018 Graduate Mathematical Modeling E Title: "Multi-UAV collaborative network of radar interference."

Foreword

18 years E entitled interference issues related to multi-UAV cooperative network of radar, optical topics explained there is a thousand words, the subject is indeed complex.

After carefully reading the context, you can set the scene roughly comprehension and basic requirements. All questions are based on the concept launched a homologous interference.

How UAV radar interference?

To understand homologous interference, we must first understand how the drone is a radar interference.

Simply put, the radar drone collinear, such that no radar signal reflected by the chance that there will be a bad point at an extension thereof, and the enemy detected as the point which is called false target point. "False" indicates that this point is the word interference generated.

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The implementation of multi-distance radar false targets interference schematic deception

How to fool radar network?

In the field of electronic warfare, reconnaissance of enemy invasion alone is absolutely impossible to do a radar judgment. In order to avoid "unmanned aerial vehicles - radar" This one interference caused by false positives, resulting in a homologous test technology. That is, at the same time, a multi-UAVs are interfering radar station radar network, which would generate more false target point. If this multiple false target points, at least three are in the same position, to conclude this point is a real point, is produced by the enemy. This is equivalent to fool the radar network.

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UAVs Cooperative Multi schematic network interference radar system

What is false track points?

Each radar network at all times, do homologous interference detection, if at every moment, UAV can fool networking, generating false targets corresponding to the point, then these false target points can be seen as the real enemy flight path locally generated, that is false track points.

UAV Collaborative interfere with how to understand?

The so-called UAV cooperative interference, is given a false track (spatial coordinates at each time point), the requirements of radar detection range, UAV flight restrictions (e.g., flight speed, altitude, etc.), arrange multiple UAVs flying (spatial location at every moment which should fly), making them at every moment, you can fool the radar network (ie false track points each moment can all be tested by homologous ), and thus represents a UAV by cooperation as a radar, a radar such other networking detected abnormal flight path of the aircraft and, to disturb each other, so that confusion, and thus to obtain favorable aircraft.

Answers a question

Analysis of some results obtained after

known conditions

For a problem, first of all analyze the known conditions:

  • Track 20 given spatial coordinates of points, the coordinates of five radar;
  • Radar coverage is 150km;
  • UAV flying height only within the height range of 2000m ~ 2500m;
  • UAV flight mode is uniform linear motion;
  • UAV flight speed at 120km / h ~ 180km / h (i.e. 33.33m / s ~ 50m / s);
  • The spatial distance between the UAV to be maintained at more than 100m.

Problem Scenario demo

First, radar and track stippling together, look roughly like:

Radar graph and track points

Clearly, radar detection range to 150km this condition, track point has within its scope, it is not necessary to consider the present asked.

All possible points according to the principles of UAV radar interference, each track point and each radar connection in these two segments 2000m ~ 2500m height of the plane is intercepted UAV to complete the task interference collection. as the picture shows:

To be continued ....

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Origin www.cnblogs.com/gshang/p/11402861.html