Space-air-ground network unmanned aerial vehicle anti-interference attack method based on relay and beam forming
A beamforming and unmanned aerial vehicle technology, applied in the direction of space transmission diversity, radio transmission system, diversity/multi-antenna system, etc., can solve the problem of not making full use of unmanned aerial vehicle cooperation, so as to improve the overall anti-interference ability, The effect of improving bandwidth utilization
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Embodiment 1
[0031] This embodiment combines the attached figure 1 The specific implementation process of the present invention "Anti-jamming attack method for air-space-ground network drones based on relay and beamforming" in the presence of intergroup interference, jammers, and ground satellite node interference is described in detail.
[0032] The symbols used in Example 1 and their meanings are shown in Table 1 below.
[0033] Table 1 Symbols and their corresponding meanings
[0034]
[0035]
[0036] Such as figure 1 In the communication environment shown, the high-orbit satellite communicates with the ground satellite user node, and the low-orbit satellite U communicates with the UAV group. While receiving low-orbit satellite signals, UAVs will also receive interference signals from jammers, inter-group interference signals sent by low-orbit satellite U to other groups of UAVs, interference signals from ground satellite user nodes, and Gaussian white noise. After receiving t...
Embodiment 2
[0069] This embodiment combines the attached figure 2 The specific solution process of the optimization problem shown in formula (3) among the embodiment 1 has been set forth, such as flow process figure 2 As shown, the specific steps are:
[0070] Step (1): Use Γ i,j Equivalently replace the objective function in the optimization problem shown in formula (3) Add new constraints¶ i,j ≥Γ i,j ,
[0071] Step (2): according to the formula (2) to the new constraints in step (1) γ i,j ≥Γ i,j Approximate, the approximate expression is shown in formula (9):
[0072]
[0073] In formula (9), s=[s 1 ,s 2 ,...,s G ] is a complex vector of 1×(D×G), s (i) is the ath iteration result of parameter s, h=[h i , h i ,...,h i ] is a complex vector of 1×(D×G), is the parameter Γ i,j The ath iteration result of .
[0074] make
[0075] According to the approximate result of formula (9), the optimization problem shown in formula (3) can be transformed into the form of ...
Embodiment 3
[0086] This embodiment combines the attached image 3 The specific solution process of the optimization problem shown in formula (7) in embodiment 1 has been set forth, and the solution process is as flow process image 3 shown, combined with the attached Figure 4, compared and analyzed the frequency band utilization of each UAV in the case of relaying UAVs with or without relaying satellite signals. The comparison simulation diagram is as follows Figure 4 shown.
[0087] The specific steps for solving the optimization problem shown in formula (7) in embodiment 1 are:
[0088] Step A: Use equivalent replacement objective function add new constraint
[0089] Step B: According to the formula (6) to the new constraints in step A Approximate, the approximate expression is shown in formula (11):
[0090]
[0091] In formula (11), is 1×(U Ri × U Vi ), the complex vector of u (b) is the bth iteration result of parameter u, g=[g ik , g ik ,..., g ik ] is 1×(U ...
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