UWB Signal Peak Detection in Data Streams
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Solution Overview
Problem
Existing techniques for detecting ultra-wide band (UWB) signals in continuous data streams face challenges due to short pulse widths and multipath reflections, requiring effective methods to differentiate desired signals from noise and accurately identify peaks.
Innovation Solution
A method and system for detecting UWB signal peaks by selecting a portion of the data stream, identifying sets of consecutive data samples with uniform magnitude, and promoting them as peaks if their magnitude is higher than preceding and following samples, using a processor-based system with non-transitory computer-readable media to execute instructions for peak detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional peak detection techniques are used to identify UWB signals in continuous data streams, then the detection process can handle general signal conditions, but the techniques fail to accurately capture peaks of short UWB signals and differentiate desired signals from noise and multipath reflections
Solution Approach 1:
The patent segments the continuous data stream into discrete data samples and identifies peaks by examining relationships between adjacent samples. The method divides the signal processing task into comparing each data sample with its immediate neighbors, which enables accurate detection of short UWB signals by treating each sample point as a potential peak candidate through localized comparison.
2Speed
If the pulse widths of UWB signals decrease to the order of nanosecond, then the signals become harder to detect and differentiate from noise, but the need for accurate peak detection becomes more critical for identifying these short pulses
Solution Approach 1:
The patent performs preliminary comparison actions by examining each data sample against its adjacent samples before final peak determination. This preliminary action of comparing current sample values with previous and next sample values allows the system to prepare peak candidates in advance, enabling accurate identification of nanosecond-scale pulses by pre-establishing which samples warrant further peak detection analysis.
3Loss of information
If multipath reflections are present in the digital domain, then the reflected signals superimpose onto the direct UWB signal, but traditional techniques cannot effectively differentiate the desired signal from these reflections
Solution Approach 1:
The patent extracts the essential characteristic of peak signals by comparing data samples with their adjacent neighbors and identifying local maxima. This extraction method isolates the peak detection function from the complex multipath environment, allowing the system to identify desired UWB signals by their peak characteristics while naturally filtering out multipath reflections that do not exhibit the same local maximum properties.
Data Source
Figure 1A~1B
Figure 2
Figure 3A~4C
AI summary
Embodiments of the present invention include methods and systems for detecting a peak of an ultra-wide-band (UWB) signal in a data stream. The system (1100) for detecting a peak of an ultra-wide-band (UWB) signal (1120) in a data stream (102) includes: one or more processors (1001); and a non-transitory computer-readable medium or media (1002) comprising one or more sequences of instructions which, when executed by the one or more processors (1001), causes steps to be performed comprising: selecting a portion (104) of a data stream (102) in a current clock cycle, the portion (104) of the data stream includes a preset number of data samples; finding a set of data samples included in the preset number of data samples, the set of data samples includes one or more consecutive data samples and has a uniform magnitude; and promoting the set of data samples as a peak if the uniform magnitude is higher than a magnitude of a first data sample that immediately precedes the set of data samples and a magnitude of a second data sample that immediately follows the set of data samples.