QAM-TCM Decoding Apparatus with Segmented LSB and MSB Paths
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current QAM-TCM decoding technologies face high computational complexity due to the need for extensive calculation in depuncturing and Viterbi decoding of all bits from in-phase and quadrature-phase bit flows received through a transmission channel.
Innovation Solution
The proposed solution involves a QAM-TCM decoding apparatus with separate in-phase and quadrature-phase least significant bit (LSB) decoding paths using LSB demappers and Viterbi decoders, along with a most significant bit (MSB) decoding path, which executes decoding procedures to minimize computational complexity by focusing on LSBs and MSBs separately and re-encoding and puncturing to synchronize the signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If depuncturing and Viterbi decoding are performed on all bits of in-phase and quadrature-phase bit flows, then decoding accuracy is improved, but computational complexity increases significantly
Solution Approach 1:
The patent segments the bit flow into in-phase and quadrature-phase components, and further segments each into most significant bits (MSBs) and least significant bits (LSBs). This segmentation allows selective decoding of only the LSB portions through Viterbi decoding, while MSBs are handled separately, thereby reducing the overall computational complexity while maintaining decoding accuracy for the critical LSB portions.
Solution Approach 2:
The patent extracts and processes only the least significant bits (LSBs) through the full Viterbi decoding and depuncturing process, while the most significant bits (MSBs) are extracted and processed separately through a simplified path. This extraction approach reduces computational complexity by eliminating redundant processing of MSBs that don't require the same level of decoding complexity.
2Productivity
If separate LSB decoding paths for in-phase and quadrature-phase components are implemented, then decoding efficiency is improved, but device structure becomes more complex
Solution Approach 1:
The patent merges the processing of in-phase and quadrature-phase LSBs through a unified Viterbi decoding framework, while maintaining separate input paths. The separate LSB decoding paths are combined at the re-encoding and puncturing stage, allowing efficient parallel processing while consolidating the overall structure to avoid redundant components.
Solution Approach 2:
The patent implements dynamic routing where bits are directed to different processing paths based on their significance (MSB or LSB) and phase component (in-phase or quadrature-phase). This dynamic approach allows the system to adaptively process different bit portions through appropriate decoding paths, improving efficiency while managing structural complexity through controlled flexibility.
Data Source
AI summary
A quadrature amplitude modulation trellis coded modulation (QAM-TCM) decoding apparatus and the related method that receives and decodes a QAM signal. The QAM-TCM decoding apparatus includes an in-phase least significant bit (LSB) decoding path, which includes a in-phase Viterbi decoder for executing a decoding procedure on at least one LSB corresponding to an in-phase component of the QAM signal, a quadrature-phase LSB decoding path, which includes a quadrature-phase Viterbi decoder for executing a decoding procedure on at least one LSB corresponding to a quadrature-phase component of the QAM signal, and a most significant bit (MSB) decoding path for executing a decoding procedure on MSB portions corresponding to the in-phase or the quadrature-phase of the QAM signal.