Frame Boundary Detection in Digital Communication Systems
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Solution Overview
Problem
Conventional frame boundary detection methods in digital communication systems face accuracy issues due to peak broadening effects caused by non-integer repetition lengths, leading to increased complexity and resource requirements, and are not suitable for low power consumption and efficient designs, especially in portable devices.
Innovation Solution
A method that determines the frame boundary by calculating a correlation value between a received signal and a delayed signal for a predetermined correlation length, using a maximum value determination unit to identify the frame boundary index, and approximating non-integer repetition lengths to integer values to reduce hardware and software complexity, thereby enabling efficient detection without oversampling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional frame boundary detection methods are used, then frame boundary can be detected, but accuracy deteriorates due to peak broadening effects caused by non-integer repetition lengths
Solution Approach 1:
The patent applies parameter changes by approximating non-integer repetition lengths to integer values. This transformation resolves the peak broadening effect that causes detection inaccuracy, while the approximation introduces minimal error that does not affect the overall detection performance. The correlation length is adjusted to match the approximated integer repetition length, enabling accurate frame boundary detection without requiring complex oversampling mechanisms.
2Measurement precision
If oversampling is applied to handle non-integer repetition lengths, then detection accuracy improves, but hardware and software complexity increases
Solution Approach 1:
Instead of applying oversampling to handle non-integer repetition lengths, the patent uses parameter changes by approximating the repetition length to an integer value. This approach achieves sufficient detection accuracy without the increased hardware and software complexity that would result from oversampling. The correlation calculation is performed using the approximated integer repetition length, which simplifies the system while maintaining detection performance.
3Reliability
If correlation length is increased to handle non-integer repetition lengths, then detection reliability improves, but processing time increases
Solution Approach 1:
The patent resolves the contradiction between reliability and processing time by changing the parameter of repetition length from non-integer to approximated integer values. This allows the correlation length to be set to a manageable value that ensures reliable detection without requiring excessive processing time. The approximation introduces minimal error that does not compromise detection reliability, while significantly reducing the computational burden compared to handling non-integer repetition lengths directly.
Data Source
AI summary
A method of detecting a frame boundary of a received signal in a digital communication system, the method including: generating a delayed signal by delaying the received signal by a predetermined period; calculating a correlation value by correlating the received signal with the delayed signal for a predetermined correlation length in a time domain; and determining a timing index corresponding to a maximum value, as a frame boundary index, from a plurality of correlation values which are obtained by repeating the calculation. According to an embodiment of the present invention, a correlation calculation in a time domain is performed without oversampling, in a limited length including a cyclic prefix. Accordingly, accuracy of frame boundary detection may be improved and complexity of hardware and software may also be reduced.