Adaptive Narrowband Interference Cancellation via Delay Spread
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Solution Overview
Problem
Existing narrowband interference cancellation methods are complex, inflexible, and difficult to implement due to the need for numerous preset filter coefficients to adjust passband and stopband with changing system bandwidth and interference distribution.
Innovation Solution
An adaptive narrowband interference cancellation method and apparatus that determine the channel type based on delay spread measurements, select appropriate weighting coefficients, perform time-domain windowing, and execute frequency-domain interference cancellation to effectively cancel narrowband interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If preset filter coefficients are stored for various system bandwidth and interference distributions, then interference cancellation capability is improved, but device complexity increases
Solution Approach 1:
The patent changes the approach from storing fixed filter coefficients to dynamically calculating weighting coefficients based on channel type parameters (delay spread measurements). This allows the system to adapt to different interference scenarios without storing extensive coefficient tables, resolving the contradiction between cancellation capability and device complexity.
Solution Approach 2:
The system measures delay spread of the multipath channel itself and uses this measurement to determine channel type and select appropriate weighting coefficients. This self-service approach eliminates the need for external configuration or pre-stored coefficients for various scenarios, reducing complexity while maintaining adaptability.
2Adaptability or versatility
If preset filter coefficients are stored for various system bandwidth and interference distributions, then adaptability to different conditions is improved, but ease of operation deteriorates
Solution Approach 1:
The system automatically measures delay spread, determines channel type, and selects weighting coefficients without requiring manual configuration or query operations. This self-service mechanism improves ease of operation while maintaining adaptability to different channel conditions through automatic parameter adjustment.
Solution Approach 2:
The system dynamically changes weighting coefficients based on measured delay spread values and determined channel types, providing adaptability to different conditions without requiring complex manual intervention or extensive preset tables, thus improving ease of operation.
3Reliability
If preset filter coefficients are stored for various system bandwidth and interference distributions, then interference cancellation effectiveness is improved, but implementation difficulty increases
Solution Approach 1:
The patent implements a simplified approach where weighting coefficients are calculated based on channel type determined from delay spread measurements, rather than implementing complex systems to store and manage extensive preset coefficient tables for various bandwidths and interference distributions. This reduces implementation difficulty while maintaining cancellation effectiveness.
Solution Approach 2:
The system automatically determines channel type from delay spread measurements and selects appropriate weighting coefficients without requiring complex implementation of coefficient management systems, reducing implementation difficulty while preserving interference cancellation effectiveness through adaptive selection.
Data Source
AI summary
Embodiments of the present invention provide an adaptive narrowband interference cancellation method and an apparatus. A receiving apparatus in the present invention includes: a channel type determining module, configured to: measure a delay spread of a multipath channel passed by a received time-domain signal, and determine a channel type according to a measurement result; a weighting coefficient selection module, configured to select a weighting coefficient according to the channel type; a time-domain windowing processing module, configured to perform time-domain windowing processing on the time-domain signal according to the weighting coefficient; and a frequency-domain interference cancellation processing module, configured to perform, according to the weighting coefficient, frequency-domain interference cancellation processing on the signal that is output after the time-domain windowing processing.