Noise Recycling for Orthogonal Channel Decoding
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Solution Overview
Problem
Existing communication systems with orthogonal channels face challenges in efficiently utilizing correlated noise to improve performance, as joint decoding is complex and counterintuitive to the concept of orthogonality.
Innovation Solution
The proposed solution involves recycling noise in orthogonal channels by subtracting decoded codewords from received signals to estimate effective noise, which is then used to reduce noise in other channels, enhancing decoding performance without joint decoding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If joint decoding of all orthogonal channels is performed to utilize correlated noise, then communication performance is improved, but system complexity increases significantly
Solution Approach 1:
The patent segments the joint decoding process into separate channel decodings. Each channel is decoded independently using its own decoder, rather than performing complex joint decoding of all channels together. This segmentation maintains the ability to exploit noise correlation while significantly reducing system complexity.
Solution Approach 2:
The patent introduces an intermediary component - the noise estimator - that captures noise correlation information from one channel and provides it as auxiliary input to other channels. This intermediary mechanism enables exploitation of correlated noise without requiring complex joint decoding, thus resolving the contradiction between performance improvement and system complexity.
2Productivity
If noise correlation among orthogonal channels is exploited, then rate gain and reliability are improved, but decoding complexity increases
Solution Approach 1:
The patent performs preliminary noise estimation from the first channel before decoding the second channel. By estimating the noise characteristics in advance and providing them as auxiliary input, the system achieves rate gain and reliability improvement without increasing the actual decoding complexity, as the noise estimation is a separate preprocessing step.
Solution Approach 2:
The first channel effectively serves the second channel by providing noise correlation information. The system uses the decoded output from the first channel to generate noise estimates that benefit the decoding of subsequent channels, creating a self-service mechanism that improves overall system performance without external intervention or additional complexity.
3Object-generated harmful factors
If orthogonal channels are used to separate communications, then interference is reduced, but correlated noise cannot be exploited
Solution Approach 1:
The patent merges the advantages of orthogonal channels (interference reduction) with the benefits of noise correlation exploitation. By combining independent channel decoding with shared noise estimation, the system simultaneously achieves interference reduction from orthogonality and reliability improvement from noise correlation exploitation.
Solution Approach 2:
The patent implements a feedback mechanism where the decoded output from the first channel is fed back to generate noise estimates that are then used as auxiliary input for decoding subsequent channels. This feedback loop enables the system to exploit noise correlation while maintaining the interference reduction benefits of orthogonal channel separation.
Data Source
AI summary
Described are concepts, systems, devices and methods that enhance decoding performance of channels subject to correlated noise. The concepts, systems, devices and methods can be used with any combination of codes, code-rates and decoding techniques. In embodiments, a continuous realization of effective noise is estimated from a lead channel by subtracting its decoded output from its received signal. This estimate is then used to improve the accuracy of decoding of an otherwise orthogonal channel that is experiencing correlated effective noise. In this approach, channels aid each other through the post-decoding provision of estimates of effective noise. In some embodiments, the lead channel is not pre-determined, but is chosen dynamically based on which of a plurality of decoders completes first, or using soft information including an estimate of effective noise that is least energetic or most likely to have occurred.