Received signal detection method for FTN system with large compression ratio

Abstract

The invention discloses a received signal detection method for an FTN system with a large compression ratio, and belongs to the technical field of single carrier communication. According to the method, forward recursion calculation of a BCJR algorithm is carried out by using an M-algorithm, LLR output is calculated by delaying L beta, and the situation of LLR output instability is avoided by usinga backtracking traversal state. A receiver based on the ultra-low complexity M-BCJR algorithm is used for decoding detection processing of received signals in a single-carrier FTN system, and compared with an existing M-BCJR algorithm, the complexity can be greatly reduced under the same performance condition.

Description

technical field [0001] The invention belongs to the single-carrier communication technology in the communication field, and in particular relates to a receiving method based on an ultra-low complexity M-BCJR algorithm. Background technique [0002] With people's need for efficient and stable communication, wireless communication technology is constantly being upgraded. At present, the 4G network is fully deployed and mature, which brings people a higher quality and higher speed service experience. The emergence and development of wireless wearable devices, smart homes, mobile terminals, augmented reality, virtual reality, cloud office, leisure and entertainment, and autonomous driving have brought about exponential growth in communication users, the number of connected devices, and data volume, driving With the advent of the Internet of Things, big data and cloud era, this puts forward more stringent requirements on the capacity, speed and reliability of communication. How...

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Problems solved by technology

[0008] The M*-BCJR algorithm only retains M states at each moment, and gathers the states that should have been discarded into the surviving states, which not only reduces the low complexity of the algorithm, but also ensures the stable output of soft information. However, the algorithm has a certain deviation in the estimation of the backward probability, which leads to its poor performance in the large compression ratio FTN system

Under the Ungerboeck model, the U-M-BCJR algorithm accurately estimates the backward probability by reasonably estimating the follow-up path, but requires exponential calculations, which is unacceptable for large compression ratio FTN systems

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