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
Engineering 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
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
2Measurement precision
If complex detection algorithms are used to interpret MIMO signals, then detection performance is improved, but device complexity increases
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
3Measurement precision
If whitening filters are applied to mitigate interference, then detection accuracy is improved, but computational complexity increases due to covariance matrix operations
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
Data Source
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.


