The invention discloses an intelligent reflection surface (RIS)-assisted AFDM (Amplified
Frequency Division Multiplexing)
simulation modulation
system in a high-speed moving environment, and relates to the field of
radio frequency division
multiplexing (AFDM)
simulation modulation systems. The intelligent reflection surface (RIS)-assisted AFDM
simulation modulation
system in the high-speed moving environment can be applied to the field of
radio frequency division
multiplexing (AFDM) simulation modulation of the high-speed moving environment and the high-speed moving environment of the high-speed moving environment and the high-speed moving environment of the high-speed moving environment and the high-speed moving environment of the high-speed moving environment. In the
system, the RIS is firstly used as
relay auxiliary
information transmission from an AFDM transmitting end to a receiving end, and the multipath
diversity gain of the system is increased. As a
multipath effect and
Doppler frequency shift interference exist in high-speed mobile communication, an output solution of an AFDM
demodulation end on a discrete affine
Fourier domain is solved by constructing a
delay Doppler
cascade channel of the RIS, and a reflection phase of the RIS is optimized according to the formula, so that the power of a received
signal is maximized. As the reflection
optimization problem of the RIS under the multipath channel is a non-convex form, the problem can be solved by using a traditional method to cause relatively
high complexity. According to the method, the MF-STC method based on norm maximization is provided by deducing the upper limit of the maximization problem to solve the suboptimal solution, and compared with a random
phase method, it is verified that the MF-STC method can remarkably reduce the
bit error rate of the RIS-AFDM system.
Simulation results show that compared with a traditional RIS-assisted
orthogonal frequency division multiplexing system, the system scheme provided by the invention can obtain better
bit error rate performance.