Time domain channel prediction method and time domain channel prediction system for OFDM wireless communication system

A time domain channel prediction system for an orthogonal frequency-division multiplexing (OFDM) wireless communication system, comprising:

• a computer-readable storage medium storing a plurality of modules;
• and
• a processor coupled to the computer-readable storage medium, and accessed and executes the plurality of modules, wherein the plurality of modules comprise:
• a frequency domain channel estimation module configured to obtain OFDM frequency domain channel information by channel estimation;
• a time domain tap information obtaining module configured to obtain time domain tap information by performing inverse Fourier transform on the OFDM frequency domain channel information;
• a tap filter module configured to filter significant delay taps in a channel impulse response according to the time domain tap information by retaining delay taps in Lcp as the significant delay taps and discarding delay taps from Lcp+1 to K, wherein Lcp is a length of a cyclic prefix of an OFDM system, and K is a number of subcarriers in an OFDM symbol;
• a time domain tap information prediction module configured to perform prediction on each of the filtered significant delay taps by using a trained extreme learning machine to obtain next-moment time domain tap information of each of the significant delay taps;
• and
• a frequency domain channel information processing module configured to combine the next-moment time domain tap information of each of the significant delay taps obtained by prediction, and then convert the next-moment time domain tap information into predicted frequency domain channel information by using Fourier transform.