Wireless Receiver Spatial Filtering for Interference Mitigation
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Solution Overview
Problem
Advanced antenna systems face significant hardware distortion due to non-linearity, leading to interfering signals leaking into the frequency band of desired signals, which is particularly detrimental in massive MIMO systems, and current solutions involving highly linear low noise amplifiers and high-resolution ADCs are costly and power-consuming.
Innovation Solution
A method for a wireless receiver that uses spatial filtering to separate desired and interfering signals, estimating the squared amplitude of the interfering signal based on a model of non-linearity, and mitigating interference by approximating expressions for intermediate signal components, allowing for cost-effective and power-efficient interference mitigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If highly linear low noise amplifiers and high-resolution ADCs are used to mitigate interference leakage, then receiver sensitivity and dynamic range are improved, but cost and power consumption increase
Solution Approach 1:
The patent changes the approach from hardware parameter optimization (linearity, resolution) to signal processing parameter optimization. By using spatial filtering and non-linearity compensation algorithms, the system achieves interference mitigation through software-based parameter adjustment rather than relying on high-linearity hardware components, thereby reducing power consumption while maintaining receiver sensitivity and dynamic range.
Solution Approach 2:
The patent replaces the mechanical/electrical solution (highly linear hardware components) with a signal processing solution (spatial filtering and non-linearity compensation). Instead of using expensive, power-consuming linear amplifiers and high-resolution ADCs, the system uses algorithms to filter spatial components and compensate for non-linear effects, substituting hardware-based interference mitigation with software-based processing.
2Reliability
If highly linear low noise amplifiers and high-resolution ADCs are used to mitigate interference leakage, then receiver sensitivity and dynamic range are improved, but device cost increases
Solution Approach 1:
The patent transitions from hardware parameter specifications (linearity percentage, ADC resolution bits) to signal processing parameters (filter coefficients, compensation algorithm parameters). This allows achieving the same reliability performance with lower-cost components by optimizing signal processing parameters instead of relying on expensive high-linearity hardware.
Solution Approach 2:
The patent substitutes expensive hardware components (highly linear LNA, high-resolution ADC) with more affordable signal processing techniques. The spatial filtering and non-linearity compensation algorithms provide the necessary interference mitigation without requiring costly hardware, making the receiver more cost-effective to manufacture while maintaining sensitivity and dynamic range performance.
3Productivity
If spatial processing is used in massive MIMO systems, then system capacity is improved, but interference from out-of-band blockers increases due to constructive combining
Solution Approach 1:
The patent extracts the interfering out-of-band signal components from the received composite signal using spatial filtering. By identifying and separating the spatial characteristics of desired signals from interfering signals, the system removes the harmful interference components before they can combine constructively in spatial processing, thereby maintaining system capacity while mitigating interference effects.
Solution Approach 2:
The patent converts the harmful non-linear distortion effect into a detectable pattern that can be compensated for. By modeling the non-linearity and using the second intermediate signal component to estimate interferer amplitude, the system transforms the previously harmful interference leakage into information that can be used to cancel the interference, thereby protecting system capacity while allowing spatial processing to proceed.
Data Source
AI summary
A method is disclosed of a wireless receiver configured for spatial selective reception. The method is for mitigation of an interfering signal leaked into a frequency range of a desired signal due to non-linearity of hardware components of the receiver.The method comprises receiving a composite signal comprising the desired signal and the interfering signal, filtering the composite signal using a spatial filter for a channel response of the desired signal to provide a first intermediate signal component, and filtering the composite signal using a spatial filter for a channel response of the interfering signal to provide a second intermediate signal component.The method also comprises estimating a squared amplitude of the interfering signal based on the second intermediate signal component and a model of the non-linearity, and estimating the desired signal based on the first intermediate signal component, the estimated squared amplitude of the interfering signal, and the model of the non-linearity.Corresponding apparatus, wireless receiver, wireless communication device and computer program product are also disclosed.