Shared Iterative Decoder for Multi-Channel Satellite Reception
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Solution Overview
Problem
Traditional satellite communication systems face challenges in efficiently receiving and decoding multiple channels simultaneously due to bandwidth limitations and the need for separate tuners and demodulators for each channel, leading to increased complexity and cost.
Innovation Solution
A broadband tuner and demodulator system that uses a single tuner front-end, shared analog-to-digital converters, and multiplexed decoding resources to process multiple channels efficiently, optimizing processing capacity and reducing complexity by allocating resources based on channel quality measures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If separate tuners and demodulators are used for each channel, then channel reception reliability is improved, but device complexity and cost increase
Solution Approach 1:
The patent combines multiple channel processing functions into a single integrated processor that can sequentially handle multiple channels. Instead of using separate tuners and demodulators for each channel, the system uses one processor that time-division multiplexes across different channels, maintaining reception reliability while reducing hardware complexity and cost.
Solution Approach 2:
The integrated processor is designed to perform multiple functions - it can tune to and demodulate different channels sequentially. This universal processor replaces the need for dedicated single-function hardware for each channel, achieving the same reliability through software-controlled multi-functionality rather than hardware duplication.
2Reliability
If separate decoders are allocated for each channel, then decoding reliability is improved, but processing efficiency deteriorates due to resource underutilization
Solution Approach 1:
The patent implements dynamic resource allocation where the processor adaptively adjusts its operation based on the number and quality of channels being processed. The system dynamically manages decoding resources, allocating more iterations to channels with higher signal-to-noise ratios and fewer iterations to channels with lower quality, thereby optimizing both reliability and processing efficiency.
Solution Approach 2:
The system changes operational parameters dynamically - specifically the number of decoding iterations allocated to each channel based on measured signal quality. This parameter adjustment allows the processor to maintain high decoding reliability for all channels while improving overall processing efficiency by not wasting resources on channels that require fewer iterations.
3Manufacturing precision
If maximum iterations are allocated to each channel, then decoding quality is improved, but overall processing capacity decreases
Solution Approach 1:
The patent applies local quality optimization by allocating different numbers of decoding iterations to different channels based on their individual signal-to-noise ratios. High-quality channels receive fewer iterations while low-quality channels receive more iterations, ensuring each channel gets the appropriate level of processing attention. This localized optimization maintains decoding quality where needed while preserving overall processing capacity.
Data Source
AI summary
Multiple channels of received data are processed by a multiple channel demodulation and error correction decoding engine. The statistical uncertainty of processing channels with an iterative decoder are averaged across all the channels to reduce the total processing power required of the decoding engine compared to processing each channel with a separate engine. A set of input buffers holds blocks of data for each channel needing decoding. A quality measure is computed on each input block to set the priority and iteration allocation of decoding in the common decoder. The input RF signal is digitized by a broadband tuner that processes some or all of the channels to feed the multiple channel demodulator and decoder. Multiple decoded video data streams are output.