Broadcast Signal Encoding Using LDPC and MIMO for Mobile Reception
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Solution Overview
Problem
Current digital broadcast systems face challenges in efficiently transmitting and receiving large amounts of data, particularly in providing multiple broadcast services through the same RF signal bandwidth, and require improved data transmission efficiency and robustness, especially for mobile reception equipment.
Innovation Solution
The method involves encoding Data Pipe (DP) data using Low-Density Parity-Check (LDPC) codes, bit interleaving, mapping onto constellations, and Multi-Input Multi-Output (MIMO) encoding, followed by Orthogonal Frequency Division Multiplexing (OFDM) modulation for transmission, and reverse processes for reception, utilizing specific parity check matrices and MIMO parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple broadcast services are transmitted through the same RF bandwidth using time domain multiplexing, then data transmission efficiency is improved, but system complexity increases due to the need for sophisticated encoding and modulation schemes
Solution Approach 1:
The broadcast data stream is segmented into multiple Data Pipes (DPs), each carrying different service data. This segmentation allows independent encoding and modulation of each pipe, enabling efficient multiplexing while managing complexity through modular processing units for each data pipe.
Solution Approach 2:
The patent transitions from single-service transmission to multi-service transmission by adding the time dimension through time domain multiplexing. Multiple data pipes are transmitted over the same RF bandwidth by allocating different time slots, effectively utilizing another dimension (time) to increase productivity without requiring additional frequency resources.
2Reliability
If advanced encoding schemes like LDPC and MIMO are used, then transmission robustness is improved, but computational complexity and processing requirements increase
Solution Approach 1:
LDPC encoding is performed in advance on each data pipe before modulation and transmission. The parity check matrices are pre-designed and stored, allowing the encoder to systematically generate redundant parity bits that enhance robustness. This preliminary encoding action ensures error correction capability is built into the transmitted signal structure.
Solution Approach 2:
The patent employs MIMO encoding that dynamically adjusts transmission parameters such as modulation order and coding rate based on channel conditions. By changing these parameters adaptively, the system achieves improved robustness in varying transmission environments while optimizing computational resources.
3Reliability
If data is classified by components and transmitted as separate data pipes, then service quality control is improved, but data processing overhead increases
Solution Approach 1:
Broadcast data is segmented into multiple Data Pipes based on service types and quality requirements. Each data pipe can be independently encoded, modulated, and transmitted with appropriate error protection levels. This segmentation enables differentiated quality control for different services while using standardized processing procedures to minimize overhead.
Data Source
AI summary
The present invention provides a method of transmitting broadcast signals. The method includes, encoding Data Pipe, DP, data according to a code rate, wherein the encoding further includes Low-Density Parity-Check, LDPC, encoding the DP data, Bit interleaving the LDPC encoded DP data, and mapping the bit interleaved DP data onto constellations; building at least one signal frame by mapping the encoded DP data; and modulating data in the built signal frame by an Orthogonal Frequency Division Multiplexing, OFDM, method and transmitting the broadcast signals having the modulated data.