Bootstrap Detector Signal Quantization Hardware Reduction
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Solution Overview
Problem
Existing receiving apparatuses face complexity and increased hardware requirements for processing bootstraps, leading to higher costs and potential performance losses in digital broadcasting systems.
Innovation Solution
A receiving apparatus and control method that simplify bootstrap processing by quantizing input and reference signals, determining correlations, and multiplexing, reducing hardware complexity and costs through efficient signal processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If conventional bootstrap processing methods are used, then detection accuracy is maintained, but hardware complexity and processing cost increase
Solution Approach 1:
The patent changes the parameter representation by quantizing input and reference signals into discrete levels (e.g., 3-level or 5-level quantization). This parameter transformation enables the use of simplified lookup tables and multiplexers instead of complex correlators, reducing hardware complexity while maintaining acceptable detection accuracy through optimized quantization schemes.
Solution Approach 2:
The patent creates simplified copies of the correlation function using lookup tables that store pre-computed correlation values for quantized signal levels. Instead of performing real-time complex multiplications and accumulations, the system uses these pre-computed tables with simple address generation and multiplication, significantly reducing hardware complexity while preserving detection capability.
2Area of stationary object
If signal quantization is applied, then hardware area is reduced, but processing precision may be compromised
Solution Approach 1:
The patent applies quantization to transform continuous signal parameters into discrete levels (3-level or 5-level), which dramatically reduces the hardware area required for signal processing. The quantization is optimized to maintain sufficient precision for bootstrap detection by carefully selecting the number of levels and their distribution, thereby balancing area reduction with processing precision.
Solution Approach 2:
The patent introduces quantized signal levels as an intermediary representation between the continuous input signal and the correlation detection process. This intermediary quantized form enables the use of simplified hardware (lookup tables and multiplexers) while maintaining the essential information needed for accurate bootstrap detection, thus reducing hardware area without completely sacrificing precision.
3Reliability
If complex correlation processing is used, then detection reliability is improved, but processing time increases
Solution Approach 1:
The patent performs preliminary quantization of the input and reference signals before the correlation processing stage. By pre-quantizing the signals into discrete levels, the system prepares the data in a form that enables faster subsequent processing using lookup tables and multiplexers, thereby reducing the time required for the actual correlation detection while maintaining reliability through the preserved correlation structure.
Solution Approach 2:
The patent replaces the traditional mechanical/computational correlation process (involving continuous multiplication and accumulation) with a substituted approach using quantized signals, lookup tables, and multiplexers. This substitution dramatically reduces processing time by eliminating complex real-time computations while maintaining detection reliability through the optimized quantization and table lookup mechanism.
Data Source
AI summary
A receiving apparatus is provided. The receiving apparatus includes: a receiver configured to receive an input signal including a transmission frame which includes a bootstrap, a preamble, and a payload; a bootstrap detector configured to detect the bootstrap based on a correlation between the input signal and a reference signal which is pre-stored; and a signal processor configured to signal-process the preamble based on the detected bootstrap and signal-process the payload based on the signal-processed preamble, and the bootstrap detector is configured to determine the correlation by quantizing at least one of the input signal and the reference signal and then multiplexing the input signal and the reference signal at least one of which is quantized. Accordingly, an area occupied by hardware and cost can be reduced and loss of performance can be minimized.