Multi-Receiver Spatial Filtering for Wideband Interference
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Solution Overview
Problem
Existing wireless communication systems face challenges in effectively mitigating interference, particularly in unlicensed bands like ISM, where devices operate without pre-determined frequency, temporal, or spatial planning, leading to issues with noise and interference that affect signal quality and system performance.
Innovation Solution
The implementation of a method using multiple antennas to apply spatial filtering techniques, such as eigenvector nulling, noise whitening, and covariance matrix inversion, to convert signals into sub-band frequency components and generate filtered components that suppress interference, improving signal-to-noise-plus-interference ratio (SINR) and packet detection performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If devices operate in the same unlicensed band without pre-determined frequency, temporal, or spatial planning, then rapid development and deployment of wireless communication technologies is enabled, but interference from other equipment increases
Solution Approach 1:
The patent changes the parameter domain by transforming narrowband interference mitigation into wideband interference mitigation through frequency domain processing. It divides the frequency band into multiple sub-bands and applies different spatial filters to each sub-band, adapting the filtering parameters to match the wideband interference characteristics rather than using a single narrowband filter configuration
Solution Approach 2:
The patent segments the wideband interference signal into multiple narrowband sub-band components using frequency domain transformation. Each sub-band is then processed independently with its own spatial filter, allowing the system to handle wideband interference by combining multiple narrowband filtering operations
2Object-affected harmful factors
If time domain signal processing is used to mitigate narrowband interference, then interference on data payload is reduced, but the effects on other parts of the receiver are not addressed
Solution Approach 1:
The patent substitutes time domain signal processing with frequency domain signal processing. Instead of applying temporal filtering to narrowband interference, it uses frequency domain transformation to convert the signal into sub-band components, then applies spatial filtering in the frequency domain to achieve wideband interference mitigation across all receiver components
3Reliability
If spatial filtering techniques are applied to mitigate wideband interference, then signal-to-noise-plus-interference ratio is improved, but computational complexity increases
Solution Approach 1:
The patent segments the wideband signal into multiple narrowband sub-bands in the frequency domain. By processing each sub-band separately with simpler spatial filters and then combining the results, the computational complexity is reduced compared to applying a single complex wideband spatial filter, while still achieving effective wideband interference mitigation
Data Source
AI summary
Certain disclosed embodiments pertain to suppressing interference in a wireless communication system. For example, a method of suppressing interference can include receiving one or more first signals including components from a plurality of sub-channels. Each of the first signals can be converted into a respective plurality of first sub-band frequency components. A respective spatial filter can be determined for each frequency sub-band using one or more corresponding first sub-band components for each respective spatial filter. One or more second signals including components from the plurality of sub-channels can be received. Each of the second signals can be converted into a respective plurality of second sub-band frequency components. A corresponding plurality of filtered sub-band components can be generated by applying the respective spatial filters to the corresponding second sub-band components for each of the second signals.