FTN Signal Reception Using Iterative Interference Cancellation
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Solution Overview
Problem
In digital communication systems using Faster-Than-Nyquist (FTN) methods, existing technologies face challenges in improving equalization performance and accurately detecting signals due to complexity issues, leading to incomplete cancellation of interference components, which affects reception performance and increases resource requirements for interleavers.
Innovation Solution
An apparatus and method that include an equalizer, deinterleaver, decoder, and FTN interference estimation unit to create and eliminate FTN interference sequences, using a modulation unit and FTN interference filter to set tap coefficients to '0' and iteratively demodulate and decode signals until preset conditions are met, reducing complexity and improving error correction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the range of interference between neighboring symbols to be processed is widened to improve reception performance, then reception performance is improved, but device complexity is increased
Solution Approach 1:
The interference cancellation process is divided into two distinct stages: a first interference cancellation unit that processes interference from a first range of neighboring symbols, and a second interference cancellation unit that processes interference from a second range of neighboring symbols. This segmentation allows each unit to handle a specific portion of the interference problem, improving reception performance through comprehensive interference cancellation while keeping individual unit complexities manageable.
2Manufacturing precision
If FTN interference cancellation is implemented to improve signal reconstruction accuracy, then manufacturing precision is improved, but device complexity is increased
Solution Approach 1:
The first interference cancellation unit performs preliminary interference cancellation before the second interference cancellation unit processes the signal. By removing a portion of the FTN interference in the first stage, the second stage can focus on refining the cancellation for remaining interference, thereby achieving high signal reconstruction accuracy through progressive refinement rather than requiring a single complex cancellation process.
3Reliability
If iterative demodulation and decoding is performed to eliminate FTN interference, then reliability is improved, but loss of time is increased
Solution Approach 1:
The system employs iterative demodulation and decoding where the decoded signal is fed back through the interleaver to the equalizer in periodic cycles. Each iteration refines the interference cancellation and error correction, with the process continuing until convergence or a maximum number of iterations is reached. This periodic refinement achieves high reliability by progressively eliminating FTN interference while managing processing time through controlled iteration.
Data Source
AI summary
Disclosed herein are an apparatus and method for receiving a signal based on FTN. The apparatus for receiving a signal based on FTN includes an equalizer for creating a Log Likelihood Ratio (LLR) sequence by equalizing an FTN signal sequence sampled at an FTN signaling rate; a deinterleaver for deinterleaving the created LLR sequence; a decoder for decoding the LLR sequence by correcting errors in the deinterleaved LLR sequence; an interleaver for interleaving the decoded LLR sequence and providing the interleaved LLR sequence to the equalizer; and an FTN interference estimation unit for providing the FTN signal sequence, from which an FTN interference sequence is eliminated, to the equalizer, using the interleaved LLR sequence.