Flat rapid fading long-distance channel predicting method based on extension Prony algorithm

Abstract

The invention discloses a flat rapid fading long-distance channel predicting method based on the extension Prony algorithm. At the transmitting terminal, input data are allocated in a self-adaptation mode, bit allocation and power allocation are mainly related, and the input data are modulated to a carrier and are transmitted after signal modulation; flat rapid fading is carried out in the time varying fading channel transmission process, a receiver receives and modulates signals, on that basis, channel estimation is carried out, further channel prediction is made according to the estimation result, and the channel prediction result is fed back to the transmitting terminal. The method has the advantages that satisfactory results can be obtained under the situation that the channel conditions are superior and the situation that the channel conditions are inferior, and under the same prediction precision, the 3-5 dB signal to noise ratio advantage can be achieved; the good prediction precision can still be obtained when a plurality of steps of predicting are carried out, and the performance is stable; by means of the adopted long-distance method, the operand is greatly reduced, the prediction distance is increased, multi-step prediction can be achieved through the batch calculation of the method, the interpolation algorithm is adopted, the data information is fully utilized, and the calculation efficiency is improved to some degree.

Description

technical field [0001] The invention relates to the field of channel prediction of a mobile communication system, in particular to a flat and fast fading long-distance channel prediction method based on an extended Prony algorithm. Background technique [0002] With the rapid development of modern wireless mobile communication, people's requirements for the transmission capability of wireless communication systems are constantly improving, and people hope to transmit a large amount of data and multimedia signals at high speed. However, the channel of wireless mobile communication greatly limits the transmission performance of the system. The channel environment between the transmitting end and the receiving end becomes very complicated due to factors such as terrain and human factors. The multipath effect and Doppler frequency shift cause the amplitude and The phase is greatly distorted, which seriously affects the communication performance. [0003] In order to improve the...

AI Technical Summary

Problems solved by technology

The ESPRIT algorithm can theoretically achieve multi-step forecasting without error diffusion, but in essence, its accuracy is limited by the estimation of the autocorrelation function

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