Weighted soft decoding method based on single-carrier frequency-division multiple access system

Abstract

The invention discloses a weighted soft decoding method based on a single-carrier frequency-division multiple access system and solves the problem that in the prior art, a weighted decoding method islow in channel frequency selective fading resistance, is low in to-be-decoded soft information signal to noise ratio and is high in algorithm complexity. The realization method of the method comprisesthe steps of generating coded and modulated data; acquiring frequency domain data; generating mapped frequency domain data; acquiring time frequency sending signals; acquiring received time domain signals; acquiring received frequency domain signals; acquiring subcarrier de-mapped signals; carrying out channel balancing; acquiring a weighting factor; weighing balanced signals; carrying out demodulation and soft-decision; and carrying out soft decoding. The method has the advantages of high soft information signal to noise ratio, high channel frequency selective fading resistance, low algorithm complexity and simple realization. According to the method, the decoding performance is improved well finally.

Description

technical field [0001] The invention belongs to the technical field of communication, and further relates to a weighted soft decoding method based on a SC-FDMA (Single-carrier Frequency-Division Multiple Access) system in the technical field of wireless communication. The invention can realize the weighted decoding of the soft information in the single carrier frequency division multiple access system. Background technique [0002] Single carrier frequency division multiple access technology has unique advantages in reducing the peak-to-average ratio. Therefore, the research on single carrier frequency division multiple access technology has become one of the research hotspots in the field of wireless communication in recent years. Current studies have shown that in communication environments with low SNR and severe channel frequency selective fading, such as scattered channels and multipath Rice channels. There is a big gap between the actual communication situation and t...

AI Technical Summary

Problems solved by technology

Although this method solves the problem that the subcarrier soft information is seriously affected by single-frequency or narrow-band interference, it still has the disadvantage that a weighting factor is used to weight the soft information, so that the signal part and the noise part of the soft information are enlarged at the same time. Or reduce the same multiple, therefore, the signal-to-noise ratio of soft information weighted by this method does not improve, and the improvement of decoding performance is limited. Moreover, this method needs threshold judgment, and the algorithm complexity is high

However, the disadvantage of this method is that it does not consider the channel frequency selective fading

In the actual communication system, due to the existence of channel frequency selective fading, the modulus value of the received signal cannot directly reflect the reliability of decoding soft information

Therefore, this method has limited improvement in decoding performance in communication scenarios with severe channel frequency selective fading.

Images