LDM Broadcast Signal Receiver for Layer Separation and Robust OFDM Reception
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Solution Overview
Problem
Current digital broadcast signal transmission technologies face challenges in data transmission efficiency, robustness, and network flexibility, especially for mobile reception and indoor environments, due to the large amounts of video/audio data and additional services they need to handle.
Innovation Solution
A broadcast signal receiver is designed with a synchronization and demodulation unit for OFDM demodulation, a frame parsing/deinterleaving unit, and interference removal units to process layer division multiplexing (LDM) data, allowing for efficient data extraction and error correction, while also controlling power ratios and separating data layers, enhancing QoS and transmission flexibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If digital broadcast signal transmission is used to provide HD images and multi-channel audio, then service quality is improved, but data transmission efficiency and network robustness deteriorate due to large data amounts
Solution Approach 1:
The broadcast signal is divided into multiple layers with different priorities and QoS requirements. High-priority data (first layer) and low-priority data (second layer) are segmented and transmitted separately, allowing efficient resource allocation and improved overall transmission efficiency while maintaining service quality
Solution Approach 2:
Different QoS parameters are assigned to different data layers. The first layer uses parameters optimized for reliability and robustness, while the second layer uses parameters optimized for transmission efficiency. This parameter differentiation resolves the contradiction by allowing each layer to operate at its optimal efficiency point
2Productivity
If layer division multiplexing is implemented to improve data transmission efficiency, then productivity is improved, but device complexity increases due to multiple processing units
Solution Approach 1:
The receiver is segmented into specialized processing units, each handling specific layers. The first demapping/decoding unit processes high-priority data while the second unit processes low-priority data. This segmentation allows parallel processing that improves efficiency while keeping each unit's complexity manageable
Solution Approach 2:
The frame parsing/deinterleving unit and interference removal unit serve multiple functions: they process both layers of data and work together in the LDM signal processing chain. This multi-functionality reduces overall device complexity by sharing common processing components across different data layers
3Reliability
If robustness is improved for mobile reception, then reliability is improved, but data transmission efficiency deteriorates due to error correction overhead
Solution Approach 1:
Different error correction strengths are applied locally to different data layers. The first layer (high-priority data) receives stronger error correction and more robust processing, while the second layer (low-priority data) uses lighter error correction. This local differentiation improves overall reliability for critical data while maintaining transmission efficiency for less critical data
Solution Approach 2:
Error correction parameters are changed based on data layer priority. The first layer uses parameters that maximize robustness (higher redundancy, more conservative decoding), while the second layer uses parameters that maximize efficiency (lower redundancy, faster decoding). This parameter adaptation resolves the contradiction by matching robustness to actual data importance
Data Source
AI summary
Disclosed is a broadcast signal receiver. The broadcast signal receiver includes a synchronization and demodulation unit configured to perform signal detection and OFDM demodulation on a reception signal comprising layer division multiplexing (LDM) data, a frame parsing/deinterleaving unit configured to parse the signal frame of the reception signal and to deinterleave the LDM data, a first demapping/decoding unit configured to obtain the data of a first layer by demapping and forward error correction (FEC)-encoding the LDM data, an interference removal unit configured to remove the data of the first layer from the LDM data and to output the data of a second layer, and a second demapping/decoding unit configured to demap and FEC-decode the data of the second layer.