Adaptive Beamforming Weights for Slow Frequency Hopping
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Solution Overview
Problem
Existing base transceiver stations struggle to implement adaptive beamforming in slow frequency hopping environments due to time constraints and the need for real-time processing, which is challenging in systems with varying co-channel interference.
Innovation Solution
A method that estimates the spatial location of the desired signal using previous frame training sequence data, allowing for the calculation of beamforming weights before the current frame's training sequence is received, and updates these weights based on the current frame's training sequence data, enabling efficient processing within the time constraints of an appliqué system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If real-time processing is performed to meet time constraints in appliqué systems, then processing speed is improved, but measurement precision of spatial location deteriorates
Solution Approach 1:
The patent performs preliminary spatial location estimation using training sequence data from the previous frame before the current frame's training sequence is received. This allows the beamforming weights to be calculated in advance, meeting the tight time constraints of appliqué systems while maintaining adequate estimation accuracy using the previously obtained spatial location information.
2Loss of time
If beamforming weights from previous frame are applied to current frame, then processing time is reduced, but adaptability to frequency hopping deteriorates
Solution Approach 1:
The patent implements a feedback mechanism where the spatial location estimated from the previous frame is used to calculate initial beamforming weights for the current frame. After the current frame's training sequence is received, the spatial location is updated and the beamforming weights are refined. This feedback loop allows the system to adapt to slow frequency hopping while minimizing processing time delays.
3Measurement precision
If store-and-forward processing is implemented to improve spatial location estimation, then measurement precision is improved, but signal delay increases
Solution Approach 1:
The patent performs spatial location estimation using training sequence data from the previous frame as a preliminary action before the current frame is fully received. This approach obtains adequate estimation accuracy in advance without requiring store-and-forward processing of the entire current frame, thus avoiding excessive signal delay while meeting the time constraints of appliqué systems.
Data Source
AI summary
A novel system for performing adaptive beamforming in a slow frequency hopping environment is disclosed. The presence of slow frequency hopping means that conventional mechanisms of using beamforming weights from previous time slots are inapplicable. The inventive system calculates a series of beamforming weights from an estimate of the spatial location of the mobile subscriber in the previous frame, which is impervious to slow frequency hopping and the data that precedes the training sequence data of the current frame. The beamforming weights and the spatial location of the mobile are updated with the arrival of the entirety of the current frame. The initial beamforming weight estimate is sufficient to permit processing on a real-time basis of the current frame even if the inventive system is implemented as an appliqué system interposed between the antenna array and a conventional base station.