Adaptive Beam Forming Weights for Near-Field Imaging Accuracy
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Solution Overview
Problem
MIMO beam forming devices face challenges in maintaining high accuracy for active imaging in near-field scenarios where the distance between the object and the transmitter/receiver arrangement changes, as the optimum beam forming weights are significantly affected by varying distances, leading to suboptimal performance.
Innovation Solution
Adaptive beam forming weights are used that change in response to distance variations, indicated by a distance indicator, allowing for optimal beam forming even at short distances, which can be measured using ranging information, additional devices, or operator input, ensuring consistent imaging accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If fixed beam forming weights are used, then device complexity is reduced, but imaging accuracy deteriorates in near-field scenarios where distance varies
Solution Approach 1:
The patent implements dynamic beam forming weights that adapt to changing distances in near-field scenarios. The system transitions from fixed static weights to dynamic weights that are adjusted based on real-time distance measurements, allowing the beam forming pattern to optimize for varying object distances and maintain imaging accuracy without requiring complex manual reconfiguration
Solution Approach 2:
The patent changes the beam forming weight parameters based on distance measurements. When the distance to the object changes, the system updates the weight parameters accordingly, transforming the beam forming process from a parameter-fixed approach to a parameter-adaptive approach that maintains imaging precision across varying distances
2Measurement precision
If beam forming weights are adapted to distance changes, then imaging accuracy is improved, but device complexity increases
Solution Approach 1:
The patent implements a feedback mechanism where distance measurements are continuously monitored and used to adjust beam forming weights. The system measures the distance to the object, compares it with reference distances, and automatically updates the weights based on the measured distance, creating a closed-loop control system that maintains accuracy without manual intervention
Solution Approach 2:
The system performs self-adjustment of beam forming weights based on automatic distance measurements. Rather than requiring external calibration or manual weight selection, the system autonomously determines the appropriate weights by measuring distance and selecting from pre-calculated weight sets, enabling self-service operation that reduces operational complexity
3Reliability
If distance measurement and weight adaptation are implemented, then reliability is improved in near-field imaging, but processing time increases
Solution Approach 1:
The patent pre-calculates and stores beam forming weights for multiple reference distances before operation. During imaging, the system only needs to measure the current distance and select the corresponding pre-computed weight set, rather than performing complex real-time weight optimization calculations, significantly reducing processing time while maintaining reliability
Data Source
AI summary
The present disclosure relates to a beam forming device, comprising a transmit unit comprising at least two transmit elements that transmit radiation towards a scene, a receiver unit comprising at least two receive elements that receive radiation from said scene and that generate receive signals from said received radiation, and a beam forming unit that performs beam forming to obtain beam formed output signals from said receive signals by use of beam forming weights, wherein said beam forming weights are adapted to a distance between the scene and one or more transmit elements and/or receive elements, said distance being indicated by a distance indicator, and wherein said beam forming weights are changed if said distance changes.