Symbol Sampling in High Delay Spread Interference

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Solution Overview

Problem

Conventional symbol synchronization methods in radio communications take a long time to converge to optimal synchronization in high delay spread environments, leading to increased time required for initial synchronization and call start due to the limited number of synchronization symbols.

Innovation Solution

A method involving oversampling of a time-varying baseband waveform at a rate m times the symbol rate, calculating error values for each data sample position, and determining the optimal sample time based on these error values to accelerate synchronization, using all received symbol data for improved accuracy.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If conventional synchronization methods using limited synchronization symbols are used, then bandwidth for user data throughput is maximized, but the time required to establish initial synchronization and call start increases significantly in high delay spread environments

Engineering Contradiction:
Improvebandwidth for user data throughputVSAvoidtime required to establish initial synchronization and call start
Core Design Contradiction:
Quantity of substanceVSLoss of time

Solution Approach 1:

The patent applies partial action by using only a limited number of oversampled symbols (e.g., 3-7 symbols) from each synchronization field for rapid synchronization, rather than processing all available symbols. This provides enough information to achieve fast convergence without requiring excessive processing time, thus resolving the contradiction between fast synchronization and bandwidth efficiency.

Inventive Principle:
Principle #16Partial or excessive action

2Reliability

If the number of synchronization symbols is increased to improve synchronization accuracy, then bit-error-rate performance improves, but the overhead increases and bandwidth for user data decreases

Engineering Contradiction:
Improvebit-error-rate performanceVSAvoidoverhead in communication system
Core Design Contradiction:
ReliabilityVSQuantity of substance

Solution Approach 1:

The patent changes the parameter of sampling rate by oversampling the limited synchronization symbols at multiple rates (e.g., 0.5, 1.0, 1.5 times the symbol rate) and selecting the optimal rate based on error metrics. This transforms a limited set of symbols into multiple candidate samples, achieving improved BER performance without increasing the number of synchronization symbols or overhead.

Inventive Principle:
Principle #35Parameter changes

3Quantity of substance

If conventional symbol synchronization with limited synchronization fields is used, then overhead is minimized, but convergence to optimal synchronization time is slow in high delay spread environments

Engineering Contradiction:
ImproveoverheadVSAvoidconvergence speed to optimal synchronization time
Core Design Contradiction:
Quantity of substanceVSProductivity

Solution Approach 1:

The patent adds a temporal dimension by oversampling symbols at multiple time instances (different sample rates and offsets) within each synchronization field. This creates multiple temporal views of the same symbol, enabling faster convergence to optimal synchronization time without requiring more synchronization fields or increasing overhead.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

Data Source

PatentUS20150063512A1Method for symbol sampling in a high time delay spread interference environment
Publication Date: 2015.03.05 L3HARRIS TECH INC
  • US20150063512A1 patent drawing
  • US20150063512A1 patent drawing
  • US20150063512A1 patent drawing

AI summary

Symbol sampling in a high time delay spread interference environment includes acquiring (602) a time varying baseband waveform. The waveform has a signal amplitude that varies between one of a plurality of symbol states. The waveform is sampled (603) at a rate of m times the symbol rate. During an evaluation time, an error value is calculated (604, 606) for each of m data sample positions. Each of the error values comprises an average distance between the measured value of the waveform as indicated by the data sample and a closest known symbol value. The error values are used to create an error surface. Thereafter, the error surface is modeled as a quadratic and an optimal sample time is determined (608, 610, 612) based on finding the time location where the quadratic surface is minimum. A sinc interpolator is then used to resample the data.