Sub-Band Spatial Filtering for Wideband Receiver Interference
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Solution Overview
Problem
Wireless communication systems face challenges in mitigating interference due to noise and multipath fading, particularly in unlicensed ISM bands where devices operate without pre-determined frequency, temporal, or spatial planning, leading to inefficient communication and potential system failure.
Innovation Solution
The implementation of a method using single-tap spatial filters to mitigate interference by converting signals into sub-band frequency components and applying spatial filters to suppress interference, which is more efficient and practical than multi-tap filters, especially for packet-based communications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If time domain signal processing is used to mitigate narrowband interference, then interference on data payload is reduced, but interference affecting other parts of the receiver is not addressed
Solution Approach 1:
The receiver is segmented into multiple functional components (data payload processor, synchronization processor, channel estimator, etc.), and interference mitigation is applied to each component separately through multiple receiving devices, allowing comprehensive protection across all receiver parts
2Adaptability or versatility
If multiple devices operate in the same ISM band without pre-determined frequency, temporal, or spatial planning, then unlicensed operation flexibility is achieved, but interference from other devices increases
Solution Approach 1:
The system employs receiving devices that continuously monitor and measure interference levels across different frequency components, using this feedback information to dynamically adjust spatial filters and suppress interference in real-time, allowing flexible unlicensed operation while mitigating interference effects
3Measurement precision
If spatial filters are determined for each frequency sub-band using first sub-band components, then interference mitigation accuracy is improved, but processing complexity increases
Solution Approach 1:
The frequency band is segmented into multiple sub-bands, and spatial filters are determined independently for each sub-band using first sub-band components received from receiving devices, achieving precise interference mitigation tailored to each frequency region
Solution Approach 2:
Spatial filters are determined in advance using first sub-band components before the actual data reception and processing, allowing the system to pre-characterize interference patterns and prepare optimal filtering parameters for subsequent operation
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.