Preamble Sequence Group Generation for Wireless Discrimination
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Solution Overview
Problem
Conventional communication systems rely on a single preamble signal for frame synchronization and channel estimation, which limits channel and user discrimination capabilities and can lead to errors due to high correlation between preamble signals.
Innovation Solution
A method for generating a preamble sequence group using aperiodic recursive multiplex (ARM) sequences, where multiple preamble sequences are created and cross-correlation values are calculated to determine a limit cross-correlation value, forming a preamble set that satisfies this value to enhance user or channel discrimination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a single preamble signal is used for frame synchronization and channel estimation, then the system structure is simple, but the channel and user discrimination capabilities are limited and errors occur due to high correlation between preamble signals
Solution Approach 1:
The single preamble signal is segmented into multiple preamble sequences, each with distinct characteristics. These sequences are organized in a codebook structure, allowing the system to differentiate between multiple channels and users while maintaining manageable complexity through structured organization.
Solution Approach 2:
The patent changes the parameters of preamble signals by creating multiple sequences with different auto-correlation and cross-correlation properties. By carefully selecting sequences with low cross-correlation values and appropriate auto-correlation characteristics, the system achieves better discrimination capability while controlling complexity through parameter optimization.
2Measurement precision
If multiple preamble sequences are used to increase channel discrimination capability, then the discrimination accuracy is improved, but the system complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing auto-correlation and cross-correlation values for all preamble sequences in a codebook before actual communication occurs. This pre-computation eliminates the need for real-time correlation calculations, significantly reducing system complexity while maintaining high discrimination precision.
Solution Approach 2:
The patent uses copying by creating a codebook that stores pre-computed correlation values for all preamble sequences. This codebook serves as a reference copy that can be quickly consulted during synchronization without requiring complex real-time processing, thus improving measurement precision while controlling system complexity.
3Ease of manufacture
If preamble sequences with high cross-correlation are used, then the generation process is simple, but errors occur in synchronization and channel estimation
Solution Approach 1:
The patent applies feedback by using pre-computed cross-correlation values to evaluate and select appropriate preamble sequences. The system feedback mechanism ensures that only sequences meeting the correlation criteria are selected, guaranteeing synchronization accuracy while maintaining ease of generation through automated selection based on pre-analyzed properties.
Data Source
AI summary
Provided is a method for generating a preamble sequence group. The method includes creating a preamble sequence, calculating a cross-correlation value between sequences using the created preamble sequence, determining a limit cross-correlation value using the cross-correlation value to construct a preamble set used in the communication system, calculating a preamble set that satisfies the determined limit cross-correlation value, and terminating construction of the preamble set.