LDPC Signal Reception with Shortening and Puncturing for Broadcast PLPs
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Solution Overview
Problem
Current digital broadcasting technologies face limitations in improving data transmission efficiency and error correction capabilities, particularly with increasing demands for high-definition video and audio services and multiple broadcasting channels.
Innovation Solution
The proposed method employs a signal transmission and reception system that utilizes low-density parity check (LDPC) error correction encoding and decoding schemes, including short and puncturing modes, with a structure that includes multiple interleavers and decoders to enhance data transmission efficiency and error correction capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional error correction encoding is used, then basic data transmission is achieved, but data transmission efficiency is insufficient
Solution Approach 1:
The patent segments the error correction encoding process into multiple parallel encoders (first error correction encoder, second error correction encoder, third error correction encoder) that operate on different portions of the data stream. Each encoder applies error correction codes independently, allowing simultaneous processing of multiple data segments, thereby improving overall transmission efficiency while maintaining robust error correction capability through diversified encoding approaches
Solution Approach 2:
The patent merges multiple error correction encoded streams into a unified output by combining the encoded data from parallel encoders. The merging process integrates the strengths of different error correction schemes, creating a composite encoded stream that achieves both high transmission efficiency through parallel processing and superior error correction capability through the combined redundancy of multiple encoding methods
2Productivity
If data rate is increased to meet service demands, then more video and audio services can be transmitted, but error correction capability deteriorates
Solution Approach 1:
The patent applies different error correction encoding strategies to different portions of the data stream based on their importance and error susceptibility. Critical service data receives more robust error correction encoding with higher redundancy, while less critical data uses more efficient but lighter encoding. This localized differentiation allows the system to maintain high overall data rates while ensuring that critical services retain strong error correction capability
Solution Approach 2:
The patent implements dynamic error correction encoding where the encoding parameters and redundancy levels are adjusted in real-time based on channel conditions and service requirements. When channel quality degrades, the system dynamically increases error correction redundancy for affected data streams. This dynamic adaptation enables the system to maintain high service transmission capacity under normal conditions while automatically enhancing error correction capability when needed
Data Source
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AI summary
In one aspect of the present invention, the method receiving a signal is disclosed. The method includes receiving a signal transmitted in a radio frequency (RF) band including at least one RF channel, demodulating the received signal, parsing a preamble of a signal frame including layer-1 information, from the demodulated signal, deinterleaving bits of the layer-1 information, decoding the deinterleaved bits using an error correction decoding scheme including a shortening scheme and a puncturing scheme and obtaining physical layer pipes (PLPs) from the signal frame using the error-correction-decoded layer-1 information.