Spread-Spectrum Interference Estimation via Quantization
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Solution Overview
Problem
Existing spread-spectrum communication systems face interference issues due to in-band or intentional jamming, which degrade system performance and are not effectively mitigated by current techniques.
Innovation Solution
The method involves estimating and mitigating interference using quantization, where a high-resolution digital signal is processed by a quantizer to separate the signal of interest from the interfering signal, with the interfering signal being estimated as quantization noise, and subsequently subtracted from the original signal to produce an interference-mitigated signal.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If notch filtering or interference subtraction techniques are used to mitigate interfering signals, then interference rejection capability is improved, but device complexity increases
Solution Approach 1:
The patent extracts the interfering signal from the composite received signal by using a quantizer to separate it based on amplitude differences. The quantizer outputs represent only the interfering signal, which is then subtracted from the original received signal to leave the signal of interest with reduced interference.
Solution Approach 2:
The patent changes the parameter of signal resolution by using a quantizer with sufficient resolution to distinguish the interfering signal from the signal of interest. By operating the quantizer at a resolution level where the signal of interest falls within the quantization noise floor, the system can isolate and remove interference without requiring complex filtering algorithms.
2Measurement precision
If high-resolution digitization is used to capture both signal of interest and interfering signal, then measurement precision is improved, but loss of useful signal in quantization noise increases
Solution Approach 1:
The patent converts the harmful quantization noise into a beneficial tool for interference estimation. By deliberately allowing the signal of interest to be buried in quantization noise, the system can use the quantizer outputs to estimate and remove the interfering signal, ultimately improving the quality of the recovered signal of interest.
Data Source
AI summary
A method for interference estimation and mitigation includes receiving a high-resolution digital signal. The high-resolution digital signal comprises a signal of interest and an interfering signal. An estimate of the interfering signal is generated using a quantizer. The signal of interest is in a quantization noise of the quantizer. An interference-mitigated signal of interest is generated based on a difference of the estimate of the interfering signal and the high-resolution digital signal.


