16200-Length LDPC Encoder for Robust Cloud Broadcast Reception
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Solution Overview
Problem
Current terrestrial TV broadcasting systems face significant co-channel interference issues, leading to inefficient spectrum reuse due to the creation of white spaces, which hampers reception robustness and spectrum efficiency.
Innovation Solution
A new Low Density Parity Check (LDPC) code with a length of 16200 and a code rate of 2/15 is developed, utilizing an LDPC encoding technique that efficiently performs encoding using a sequence derived from a parity check matrix, specifically designed for terrestrial cloud transmission systems to mitigate co-channel interference and enhance spectrum efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional terrestrial TV broadcasting is used, then transmission coverage is achieved, but co-channel interference occurs and spectrum efficiency deteriorates due to white space creation
Solution Approach 1:
The patent applies parameter changes by optimizing the LDPC code rate (e.g., 1/2, 2/3, 3/4, 4/5, 5/6, 6/7, 7/8, 8/9, 9/10) and code length (e.g., 16200, 6480, 3240, 1620, 810, 405) to achieve better error correction performance. This allows the system to maintain reliable reception in co-channel interference environments while improving spectrum efficiency through more effective code utilization.
Solution Approach 2:
The patent introduces dynamic adaptation by enabling receivers to select and process multiple candidate cloud broadcast signals with different timing and frequency characteristics. The system dynamically adjusts to varying signal conditions in overlap areas, allowing flexible reception of terrestrial cloud broadcast signals under different interference scenarios.
2Loss of energy
If terrestrial cloud transmission technology is implemented, then spectrum efficiency is improved and frequency reuse is enabled, but complex signal demodulation is required in overlap areas with co-channel interference
Solution Approach 1:
The patent segments the received signal processing into distinct stages: identifying candidate cloud broadcast signals, performing separate demodulation for each candidate, and selecting the correct signal. This segmentation allows the receiver to handle complex interference scenarios by breaking down the processing into manageable steps, reducing overall system complexity.
Solution Approach 2:
The patent introduces an intermediary processing stage that handles candidate signal identification and evaluation before final demodulation. This intermediary layer simplifies the overall processing by pre-filtering and organizing candidate signals, making the subsequent demodulation step more efficient and less complex.
3Reliability
If LDPC encoding with optimized code rate and length is used, then error correction performance is improved, but encoding complexity increases
Solution Approach 1:
The patent optimizes the balance between error correction performance and encoding complexity by selecting specific LDPC code rates and lengths based on service requirements. Different code configurations (e.g., code rate 1/2 for robust services, 7/8 for efficient services) allow the system to achieve adequate error correction without excessive encoding complexity for each specific application.
Data Source
AI summary
A low density parity check (LDPC) encoder, an LDPC decoder, and an LDPC encoding method are disclosed. The LDPC encoder includes first memory, second memory, and a processor. The first memory stores an LDPC codeword having a length of 16200 and a code rate of 2/15. The second memory is initialized to 0. The processor generates the LDPC codeword corresponding to information bits by performing accumulation with respect to the second memory using a sequence corresponding to a parity check matrix (PCM).