Parallel Position Sensing With Feedback Weighting for Low-Latency SNR
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Solution Overview
Problem
Existing position sensing devices suffer from slow processing times and poor signal-to-noise ratio (SNR) due to sequential scanning of sensing elements, which limits their performance in high-speed applications.
Innovation Solution
A position sensing device that processes multiple sense signals in parallel using a combiner circuit to generate an error signal, a loop filter to derive a phase value, and a feedback loop to adjust weight factors, enabling faster error estimation and improved SNR through noise averaging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If sequential scanning of sensing elements is used, then device complexity is reduced, but processing speed and signal-to-noise ratio deteriorate
Solution Approach 1:
The sensing elements are divided into multiple groups, with each group processed by a dedicated processing channel. This segmentation allows parallel processing of multiple sensing groups simultaneously, increasing processing speed while keeping each individual processing channel relatively simple in structure.
Solution Approach 2:
Multiple sensing elements are combined into groups that are processed together in parallel channels. The combiner circuit merges signals from multiple sensing elements within each group, enabling simultaneous processing of multiple groups and thereby improving overall processing speed and signal-to-noise ratio through parallel operation.
2Measurement precision
If sequential scanning is used, then device complexity is lowered, but signal-to-noise ratio and latency worsen
Solution Approach 1:
Sensing elements are segmented into multiple groups processed by separate channels, allowing simultaneous noise averaging across all groups. This parallel processing improves signal-to-noise ratio by combining signals from multiple sensing elements at the same time, rather than sequentially as in prior art.
Solution Approach 2:
The parallel processing architecture enables continuous simultaneous processing of multiple sensing groups across all processing channels. This continuous parallel operation maintains constant noise averaging and signal combination, improving signal-to-noise ratio and reducing latency compared to sequential scanning with idle periods between measurements.
3Loss of time
If sequential processing is used, then device complexity is reduced, but latency increases
Solution Approach 1:
The sensing system is divided into multiple processing channels that operate simultaneously, with each channel handling a specific group of sensing elements. This segmentation eliminates the sequential waiting time between processing different groups, significantly reducing overall latency while maintaining manageable complexity in each individual channel.
Solution Approach 2:
Multiple processing channels are prepared and configured in advance to process different sensing groups simultaneously. This preliminary setup of parallel processing paths eliminates the need to sequentially configure processing for each group, reducing latency by having processing resources ready and waiting in multiple channels at the same time.
Data Source
AI summary
A position sensing device for measuring a position, comprises a position sensing device for measuring a position; a plurality of sensors arranged to produce sense signals each being a function of an input phase representative of a position to be measured; a combiner circuit arranged to generate an error signal by combining the sense signals according to an array of weight factors; a processing block including a loop filter to filter the error signal and arranged to output a phase value representative of the position; and a feedback loop comprising a feedback signal unit arranged for receiving the output phase value and for adjusting based on the received output phase value of the array of weight factors.