DPIM UWB Pulse Detection Using Correlation Masks and Packet Sampling
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Solution Overview
Problem
Ultra wideband (UWB) signal processing, particularly in digital pulse interval modulation (DPIM), faces challenges in low-cost, low-power integration and noise reduction due to high sampling frequencies required, which are difficult to implement in CMOS technology, and results in information loss during serial/parallel conversion.
Innovation Solution
A method and device for processing UWB signals using correlation-based filtering with discrete random time parameters, involving serial/parallel conversion, correlation processing with multiple masks, and thresholding to detect pulses within specific packets, reducing noise impact and information loss by sampling and storing samples in parallel, and using multiple correlation masks to maintain signal integrity across varying distances.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high sampling frequency is used for UWB signal processing, then signal integrity is improved, but power consumption and device complexity increase
Solution Approach 1:
The patent segments the continuous high-frequency sampling process into discrete time packets based on the statistical properties of the discrete random parameter. Instead of continuously sampling at very high frequencies, the system divides time into packets and processes signals only within these segmented intervals, reducing overall power consumption while maintaining signal integrity within each packet.
Solution Approach 2:
The patent performs preliminary statistical analysis to determine the distribution characteristics of the discrete random parameter before actual signal processing. This preliminary action allows the system to pre-determine optimal packet boundaries and sampling points, enabling efficient processing that maintains signal integrity without requiring continuously high sampling frequencies.
2Measurement precision
If high sampling frequency is used for UWB signal processing, then signal integrity is improved, but device complexity and manufacturing cost increase
Solution Approach 1:
The patent segments the signal processing into discrete time packets and uses statistical methods to analyze the discrete random parameter within these packets. This segmentation approach allows standard CMOS technology to implement the processing without requiring complex high-frequency sampling circuits, thereby reducing device complexity and manufacturing cost while maintaining adequate signal integrity.
3Productivity
If serial/parallel conversion is performed for signal processing, then processing speed is improved, but information loss occurs
Solution Approach 1:
The patent performs preliminary statistical analysis to determine the distribution characteristics of the discrete random parameter before serial/parallel conversion. This preliminary action provides guidance for the conversion process, allowing the system to maintain processing speed while minimizing information loss by preserving critical signal characteristics during the conversion.
Solution Approach 2:
The patent incorporates feedback mechanisms in the serial/parallel conversion process where the statistical properties of the discrete random parameter are continuously monitored and used to adjust the conversion parameters. This feedback ensures that processing speed is maintained while information loss is minimized through adaptive adjustment of the conversion process.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables low-consumption, low-cost integration with effective noise reduction and efficient information processing, maintaining signal integrity across varying distances without the need for automatic gain control, while reducing information loss during high-frequency sampling.
Implementation Method 1
This second processing comprises a correlation processing including at least one elementary correlation processing with a correlation mask corresponding to the shape of at least part of a sampled pulse
Data Source
AI summary
The pulse train of a signal is modulated by a DPIM modulation involving a discrete random time parameter. A first processing is performed on the signal to deliver a sampled signal. A second processing is performed on the sampled signal, comprising a correlation processing including at least one elementary correlation processing with a correlation mask corresponding to the shape of at least part of a sampled pulse, and delivering second information items. A third processing is performed for detecting the pulses following a first pulse by taking account of the position of the first pulse, on packets of second information items, which are separated by a duration related to the discrete random parameter.