Re-sampling Mechanism for OFDM Signal Communication
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Solution Overview
Problem
In wireless communication systems, especially those using orthogonal frequency division multiplexing (OFDM), the deviation in sampling frequencies between transmitting and receiving terminals leads to inter-carrier interference (ICI), particularly severe in high data rate transmissions, making accurate data reception challenging.
Innovation Solution
A signal communication method and apparatus that employs a re-sampling mechanism by calculating the time difference between actual and ideal sampling points based on carrier frequency offset, selecting the closest time point within a sampling interval, retrieving response terms from a lookup table, and performing calculations to generate re-sampling parameters for correcting the sampled data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If re-sampling mechanism is implemented to correct sampling frequency deviation, then data accuracy is improved, but device complexity increases
Solution Approach 1:
The patent pre-calculates and stores re-sampling parameters in a lookup table before actual communication occurs. During operation, the system simply retrieves pre-computed parameters based on the estimated frequency offset, avoiding complex real-time calculations and reducing device complexity while maintaining high data accuracy
Solution Approach 2:
The patent replaces complex real-time mathematical calculations with a lookup table-based retrieval system. Instead of performing computationally intensive re-sampling operations during data reception, the system substitutes this with simple table lookups and basic parameter adjustments, significantly reducing processing complexity
2Loss of information
If re-sampling calculation is performed with high precision to reduce ICI, then loss of information is reduced, but use of energy increases
Solution Approach 1:
The patent performs energy-intensive re-sampling parameter calculations in advance and stores them in a lookup table. During actual communication, the system retrieves pre-computed parameters rather than performing complex calculations in real-time, significantly reducing energy consumption while maintaining high precision in ICI correction
Solution Approach 2:
The patent uses a simplified retrieval and application process that applies only the necessary degree of correction. By using pre-computed parameters and applying them through a streamlined process, the system achieves sufficient ICI correction without the excessive energy consumption that would result from continuous high-precision real-time calculations
Data Source
AI summary
The present invention discloses a signal communication method having re-sampling mechanism that includes steps outlined below. Sampled data of a data signal is obtained. A time difference between an actual sampling time point and an ideal sampling time point is calculated. A closet time point closest to the ideal sampling time point within a sampling time interval is selected. Operation sampled data within a predetermined range around the target sampled data is selected from the sampled data. A group of response terms are retrieved from a pre-stored lookup table according to the closest time point to substitute the response terms and the time difference into a parameter calculation equation to generate a group of re-sampling response parameters. A calculation is performed based on the operation sampled data and the re-sampling response parameters to generate a re-sampled value of the target sampled data.