Multisensor Signal Processing Units for Low-Latency Fusion
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Solution Overview
Problem
Multisensor systems face challenges in processing signals from sources with different clock rates or sampling frequencies, requiring high-performance processing units with high energy consumption when all signals are processed centrally.
Innovation Solution
The solution involves distributing and partitioning signal processing and fusion across multiple separate processing units, each adapted to the specific clock rate or sampling frequency of individual signal sources, allowing incremental processing and feedback loops for efficient and low-latency signal fusion with reduced power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all signals from signal sources with different clock rates are processed in a central processing unit, then signal fusion can be achieved, but the processing unit requires high performance and high energy consumption
Solution Approach 1:
The patent divides the signal processing task into multiple separate processing units, each handling signals from specific signal sources with compatible clock rates. This segmentation allows each unit to operate independently with optimized performance requirements, avoiding the need for a single high-performance central processor that consumes excessive energy.
Solution Approach 2:
Multiple processing units are designed to perform the same signal processing functions but operate in parallel with different clock rate adaptations. Each unit can process signals from its assigned sources and contribute to the overall fusion result, providing universal functionality distributed across multiple specialized instances.
2Adaptability or versatility
If a central processing unit is adapted to the maximally occurring clock rate of signal sources, then all signals can be processed, but processing latency increases
Solution Approach 1:
By segmenting the processing system into multiple units, each unit can be optimized for specific clock rates rather than accommodating the maximum clock rate of all sources. This allows faster processing for each segment while maintaining overall system adaptability through the collective capability of all units.
Solution Approach 2:
Each processing unit is locally optimized for the specific clock rates of its assigned signal sources, rather than being uniformly designed for the maximum clock rate. This local optimization reduces processing latency for each unit while the system as a whole maintains versatility through its distributed architecture.
3Reliability
If signal sampling rates are converted for further processing, then signals from different sources can be fused, but processing complexity increases
Solution Approach 1:
The patent segments the signal processing workload so that each processing unit handles signal rate conversion and processing for its specific set of input sources. This distributes the complexity across multiple simpler units rather than concentrating it in a single complex central processor, making the overall system more manageable and efficient.
Data Source
AI summary
A partitioning of the signal processing and signal fusion of signals in a multisensor system. The individual processing steps or fusions may be carried out in separate subunits, the individual subunits preferably being situated at the signal sources.