Beamforming Optimization Using Pre-Selected Bandwidth
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Solution Overview
Problem
Existing beamforming techniques, such as minimum variance distortion response (MVDR) and diagonal loading (DL), face challenges in accurately isolating target signals from interference, leading to self-nulling issues and inconsistent beam patterns, especially in scenarios with multiple target signals.
Innovation Solution
The implementation of a beamforming system that applies pre-selected beam widths and transition slopes to create optimized beam patterns, ensuring precise extraction of target signals by standardizing beam patterns across different frequencies and times, thereby enhancing signal quality and precision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If MVDR or DL beamforming techniques are used to isolate target signals, then signal interference cancellation is improved, but self-nulling issues and inconsistent beam patterns occur
Solution Approach 1:
The patent changes the parameters of beamforming by applying pre-selected beam widths and transition slopes to create optimized beam patterns. This standardizes the beam patterns across different frequencies and times, preventing self-nulling issues while maintaining interference cancellation capability. The optimization object includes specific parameters like beam width and transition slope that are pre-selected to ensure consistent performance.
2Measurement precision
If adaptive beamforming is used to determine DOA and cancel interference, then signal quality is improved, but beam pattern inconsistency arises across different frequencies and times
Solution Approach 1:
The patent performs preliminary action by pre-selecting beam widths and transition slopes before actual beamforming operation. These pre-selected parameters are used to create optimized beam patterns that maintain consistency across different frequencies and times. The optimization object is prepared in advance with standardized parameters that ensure stable beam patterns during signal extraction.
3Device complexity
If standard beamforming techniques are applied, then signal processing is simplified, but precision in isolating target signals from interference is reduced
Solution Approach 1:
The patent introduces optimized parameters (pre-selected beam widths and transition slopes) to enhance target signal isolation precision. By incorporating these specific parameters into the beamforming process, the system achieves higher precision in isolating target signals from interference while maintaining manageable processing complexity through the use of optimization objects.
Data Source
AI summary
Techniques, described herein, may enable a computing device (e.g., a set-top-box, a user equipment (UE), etc.) with an array of sensors (e.g., microphones, antennas, etc.) to engage in beamforming in a manner that optimizes the signal strength of the target signal. For example, the computing device may create an optimized beam pattern by applying a pre-selected band width to a steering direction of the target signal. The beam width may include steering vectors at equal, angular distances from the steering direction, enabling steep transition slopes to be applied to the optimized beam pattern. In some implementations, the beam width and transition slopes may be standardized, such that the optimized beam pattern for any signal may be uniform, regardless of variables such as frequency and time.