Remote Interference Cancellation via Spatial Diversity
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Solution Overview
Problem
The radio spectrum is overcrowded due to increased demand for RF applications, leading to interference issues between wireless communications systems, making it difficult for transceivers to achieve optimum performance due to narrowband interference in wideband signals, which affects efficient spectrum use.
Innovation Solution
A broadband interference cancellation system (ICS) is developed to minimize interference from remote and/or unknown sources by estimating interfering signals using spatial and/or time diversity combined with statistical methods, and then canceling these signals using RF, optical, and/or digital signal processing techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple wireless communications systems are allocated in close proximity or same radio spectrum, then spectrum utilization increases, but interference between systems occurs
Solution Approach 1:
The patent converts the harmful interference signal into a beneficial component by using it to generate an estimate of the interfering signal. The interference cancellation system processes the received signal containing both desired and interfering components, extracts interference characteristics, and uses these to create a cancellation signal that removes the interference while preserving the desired signal.
Solution Approach 2:
The system extracts the interfering signal component from the composite received signal by using spatial and temporal diversity along with statistical methods. The interference estimation processor separates the interference from the desired signal based on their different spatial and temporal characteristics, allowing selective cancellation of only the interfering portion.
2Reliability
If narrowband interference is present in wideband signal, then signal reception becomes difficult, but spectrum efficiency is affected
Solution Approach 1:
The patent segments the wideband signal processing into multiple narrowband sub-channels or frequency bins. By processing each frequency component separately and applying interference cancellation independently to each segment, the system can effectively remove narrowband interference from specific frequency regions while preserving other parts of the wideband signal, thereby maintaining both reception reliability and spectrum efficiency.
3Object-affected harmful factors
If interference cancellation system is implemented, then interference is reduced, but system complexity increases
Solution Approach 1:
The interference cancellation system is designed to be self-adapting by automatically estimating interference characteristics from the received signal itself without requiring external calibration or manual configuration. The system uses the received signal containing interference to generate interference estimates, which are then fed back into the cancellation process, creating a self-sustaining operation that reduces complexity compared to systems requiring external reference signals or manual setup.
Data Source
AI summary
An interference cancellation system (ICS) may be used with a communication system to prevent or minimize interference from one or more sources. The ICS may receive radio frequency (RF) signals comprised of one or more signals of interest (SOI) and multiple interfering signals. An interference estimation processor (IEP) may be used to estimate the one or more interfering signals. The interfering signals may be estimated using spatial and/or time diversity, which may be combined with statistical methods. The estimated interfering signals may be sent to the ICS, which may use the estimated interference signal to cancel the interference and output the SOI.