Interference Rejection Filter for Wireless Signal Processing
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Solution Overview
Problem
Despite the performance improvements enabled by SIMO and MIMO systems, interference in data signals received by devices with multiple antennas significantly impacts throughput and reliability in wireless communications.
Innovation Solution
The system estimates channel characteristics and determines spatial correlation of interference between receive antennas, using this information to filter out interference through an interference rejection filter, thereby decorrelating and suppressing interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If SIMO and MIMO technologies are used to increase data throughput and link range, then data throughput and link range are improved, but interference in received data signals increases significantly
Solution Approach 1:
The patent introduces an interference rejection filter as an intermediary component that processes received signals to separate desired signals from interference. The filter uses spatial correlation information as a mediator to identify and suppress interference components while preserving legitimate data signals, thereby resolving the contradiction between maintaining high throughput and reducing interference.
Solution Approach 2:
The patent changes the parameter of spatial correlation to differentiate between interference and legitimate signals. By calculating spatial correlation values and comparing them against thresholds, the system dynamically adjusts filtering parameters to suppress interference while maintaining desired signal integrity, thus resolving the throughput-interference contradiction.
2Productivity
If multiple receive antennas are used to enable multipath rich environment and parallel data transmission, then data throughput is improved, but spatial correlation of interference increases
Solution Approach 1:
The patent segments the received signal into distinct components based on spatial correlation characteristics. By dividing the signal processing into interference identification, spatial correlation calculation, and selective filtering stages, the system can process each component separately, maintaining reliability while preserving the throughput benefits of multiple antennas.
3Object-affected harmful factors
If channel estimation is performed to determine spatial correlation of interference, then interference suppression capability is improved, but system complexity increases
Solution Approach 1:
The system performs self-service by utilizing existing channel estimation processes and received signal data to calculate spatial correlation information. Rather than requiring separate dedicated hardware or complex external systems, the interference rejection filter leverages already-available signal processing outputs, thereby improving interference suppression without proportionally increasing system complexity.
Data Source
AI summary
Systems and methods are provided for suppressing interference from a received data signal. A characteristic of a channel is estimated, the channel being configured for transmission of data between a transmitting device and a receiving device having two or more receive antennas. A spatial correlation of interference is determined for the two or more receive antennas based on the channel characteristic. The received data signal is filtered based on the spatial correlation.