System and method for turbo equalization and decoding in a receiver

Abstract

A symbol detection and forward error correction (FEC) decoding system and method are disclosed that aim to increase decoding performance and maintain an acceptable level of complexity. In one embodiment, the method includes performing detection and decoding over a plurality of iterations. During the first iteration: a first equalizer structure processes a received signal, and a FEC decoder performs decoding on an input obtained from the output of the first equalizer structure. During the other iterations: an iterative equalizer structure processes both (i) the received signal and (ii) an input obtained from an output of the FEC decoder from a previous iteration of the detection and decoding, in order to generate an output of the iterative equalizer structure, and the FEC decoder performs FEC decoding on an input obtained from the output of the iterative equalizer structure.

Description

[0001] Cross References to Related Applications [0002] This application claims the benefit of priority to U.S. Patent Application No. 16 / 148,585, filed October 1, 2018, and entitled "System and Method for Turbo Equalization and Decoding in a Receiver," which The entire contents are incorporated herein by reference. technical field [0003] The present application relates generally to data communications, and more particularly to turbo equalization and decoding in receivers of communication systems. Background technique [0004] In a data communication system, data is transmitted from a transmitter to a receiver. The implementation of the transmitter and receiver depends on the channel over which the data is to be transmitted, eg whether the channel is wireless, cable or optical fiber. Due to noise in the channel, the transmission performance of data transmitted on the channel may be attenuated. [0005] For example, in a data communications link over Fiber Channel, the ...

AI Technical Summary

Problems solved by technology

However, increasing SNR usually results in increased power consumption on the transmitter side and, in some cases, may cause non-linear channel distortion

On the other hand, the increased complexity of equalization at the receiver using post-compensation stages increases complexity, which typically increases power consumption and required implementation resources, and may also increase delays in decoding data from the received signal

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