MIMO Whitening Filter for Interference Mitigation

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Solution Overview

Problem

MIMO transmission and storage systems face challenges in accurately interpreting information due to noise and device imperfections, leading to detection errors despite high-capacity communications and storage capabilities.

Innovation Solution

A whitening filter is implemented in the MIMO receiver to mitigate noise components caused by transmitter and receiver imperfections, using a model-based approach to identify and whiten interference terms, with coefficients derived from the covariance matrix of the interference term, allowing for improved detection performance.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If MIMO systems increase dimensions to exploit bandwidth and density capabilities, then throughput and reliability are improved, but detection errors increase due to noise and device imperfections

Engineering Contradiction:
ImprovethroughputVSAvoiddetection accuracy
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The patent models device imperfections (phase noise, coupling) as structured interference terms rather than treating them as random noise. By characterizing these harmful effects mathematically through coupling coefficients and interference models, the system can apply targeted whitening filters that specifically address the structured interference while preserving signal integrity, thereby converting the understanding of harmful effects into a solution that maintains both high throughput and detection accuracy

Inventive Principle:
Principle #22Blessing in disguise (Convert harm into benefit)

2Measurement precision

If complex detection algorithms are used to interpret MIMO signals, then detection performance is improved, but device complexity increases

Engineering Contradiction:
Improvedetection performanceVSAvoidalgorithm complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent applies whitening filters as a preliminary processing step before the main detection algorithm. By pre-whitening the received signal to remove structured interference and whiten the noise spectrum, the system prepares the signal in advance, which simplifies subsequent detection operations and reduces the computational burden of complex algorithms while maintaining high detection performance

Inventive Principle:
Principle #10Preliminary action

3Measurement precision

If whitening filters are applied to mitigate interference, then detection accuracy is improved, but computational complexity increases due to covariance matrix operations

Engineering Contradiction:
Improvedetection accuracyVSAvoidcomputational complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent derives closed-form expressions for whitening filter coefficients based on the interference model parameters (coupling coefficients, signal-to-interference ratios). By expressing the filter coefficients in terms of these physical parameters rather than requiring full covariance matrix inversion, the system reduces computational complexity while maintaining the ability to adapt to changing interference conditions through parameter updates

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS9014320B1Interference whitening filters for MIMO maximum likelihood receivers
Publication Date: 2015.04.21 MARVELL ASIA PTE LTD
  • US9014320B1 patent drawing
  • US9014320B1 patent drawing
  • US9014320B1 patent drawing

AI summary

Systems and methods are provided for whitening noise of a received signal vector in a multiple-input multiple-output (MIMO) transmission or storage system. The whitening filter may be designed to whiten an interference component of the received signal vector, where the interference component is derived from modeling transmitter and receiver imperfections as a first coupling between MIMO transmitter outputs and a second coupling between MIMO receiver. The whitening filter may be computed based on the covariance matrix of the interference component.