Turbo Equalization Scheduling With Split Decoder Iterations
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Solution Overview
Problem
Conventional turbo equalization with turbo decoding is highly complex due to the need for multiple turbo decoding iterations at each equalizer iteration, which increases computational complexity without significant performance gains beyond a saturation point.
Innovation Solution
A low-complexity scheduling approach where one equalization step and only a part of a turbo decoder step are performed at each iteration, with two decoder steps completed across two equalizer iterations, utilizing extrinsic information to connect decoder steps through equalizer iterations, focusing effort on the equalizer algorithm to reduce complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple turbo decoding iterations are performed at each equalizer iteration, then decoding accuracy is improved, but computational complexity increases significantly
Solution Approach 1:
The patent segments the turbo decoding process into two separate decoder steps performed across two different equalizer iterations. Instead of performing multiple complete turbo decoding iterations at each equalizer iteration, the invention divides the decoding work: the first decoder step is performed at the first equalizer iteration, and the second decoder step is performed at the second equalizer iteration. This segmentation reduces the computational burden at each individual iteration while maintaining overall decoding accuracy through the distributed execution of decoding steps.
2Reliability
If more turbo equalizer iterations are performed, then performance saturation is achieved, but complexity per iteration increases
Solution Approach 1:
The patent implements a periodic action pattern where decoder steps are alternately performed at different equalizer iterations. Specifically, the first decoder step is executed at the first equalizer iteration, followed by the second decoder step at the second equalizer iteration, creating a periodic cycle of decoding operations. This periodic distribution of decoding tasks allows the system to achieve performance saturation through multiple iterations while keeping the complexity at each individual iteration manageable by alternating which decoder step is active.
Data Source
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AI summary
The present invention is directed to a Process and arrangement for turbo equalization with turbo decoding of signals. In order to provide a low complexity schedule for turbo equalization with turbo decoding the process according to the present invention is characterized in that one equalization step is performed at each turbo equalizer iteration and that one decoder step is performed at each turbo equalizer iteration, whereby at each turbo equalizer iteration only a part of the turbo decoder step is performed. An arrangement according to the present invention comprises one equalizer unit and further comprising a single decoder unit for performing only a part of a turbo decoding iteration per turbo equalizer iteration, said decoder unit being interposed between the output and an input of the equalizer unit.