UWB Radar Assemblage Detection Using Echo Energy Indexes
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Solution Overview
Problem
Existing radar-based methods for detecting assemblages of objects, such as people, are not suitable for defining assemblage situations, require high calculation capacity, and do not respect user privacy, making them economically inefficient and potentially invasive.
Innovation Solution
A method and device using UWB radar signals with predefined pulse characteristics to determine assemblages by analyzing echo signals, calculating energy indexes, and mapping them to reduce computational and memory requirements, while respecting privacy through non-image recording.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current radar-based methods are used to detect assemblages, then detection capability is achieved, but calculation capacity requirements become excessively high
Solution Approach 1:
The patent segments the detection process into distinct stages: signal transmission, echo reception, energy calculation, and assemblage determination. By dividing the complex detection task into manageable segments with specific functions, the system achieves reliable assemblage detection without requiring excessively high calculation capacity throughout the entire system.
Solution Approach 2:
The patent extracts and focuses only on the essential energy characteristics of radar echoes that indicate assemblages, rather than processing all signal parameters. By taking out only the relevant energy information and ignoring redundant data, the system maintains detection reliability while significantly reducing computational requirements.
2Measurement precision
If detailed signal analysis is performed to improve detection accuracy, then measurement precision increases, but device complexity increases
Solution Approach 1:
The patent applies local quality by calculating energy characteristics specifically for time intervals where assemblages are detected, rather than uniformly processing the entire signal. This localized approach improves measurement precision for assemblage detection while reducing overall processing complexity by focusing computational resources only where needed.
Solution Approach 2:
The patent changes the analysis parameter from detailed signal waveform characteristics to simplified energy calculations. By transforming the problem from analyzing complex signal parameters to measuring energy levels, the system achieves adequate detection precision with significantly reduced processing complexity.
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
Reliably detects assemblages with low-cost, low-complexity devices, ensuring privacy by avoiding image recording, and providing efficient assemblage detection in areas.
Implementation Method 1
transmitting into the area a radar signal comprising a sequence of pulses and receiving an electromagnetic signal comprising echo signals indicative of at least one reflection of respective pulses of the radar signal by one or more objects in the area
Implementation Method 2
receiving an electromagnetic signal comprising echo signals indicative of at least one reflection of respective pulses of the radar signal by one or more objects in the area
Data Source
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Figure 5A~5C
Figure 6A~6C
AI summary
Method for determining the presence of an assemblage of objects (O) in an area (A). The method (200) comprises: transmitting into the area a radar signal (B) comprising a sequence of pulses (I) which are spaced apart by a predefined time; receiving an electromagnetic signal (S) comprising echo signals (SE) indicative of at least one reflection of respective pulses of the radar signal by one or more objects in the area; and sampling the received echo signals (SE) so as to obtain respective discrete signals (F) comprising a plurality of samples (C). For each of the discrete signals (F), the method comprises determining a relevant plurality of consecutive main ranges (R1) of N1 samples of this discrete signal, N1 being an integer greater than one, wherein, for each of the main ranges (R1) of this discrete signal, the method comprises: determining a relevant first energy (E1) on the basis of the magnitude values of the samples (C) included in the main range (R1) in such a manner that the first energy (E1) is indicative of the energy of the discrete signal (F) within this main range; determining a relevant plurality of second energies (E2) on the basis of the magnitude values of the samples included within respective consecutive secondary ranges (R2) of N2 samples of this discrete signal in such a manner that the second energies (E2) indicate the energy of the discrete signal (F) inside the respective secondary ranges, N2 being an integer greater than one and less than N1, wherein the secondary ranges (R2) are at least partially included in this main range (R1); and determining a relevant energy index (DI) on the basis of a comparison between the second energies and the first energy of this main range. The method further comprises determining whether an assemblage of objects (O) is present in the area (A) on the basis of the energy indexes (DI) of the discrete signals (F), and generating a signal which indicates the presence of an assemblage on the basis of the determination as to whether an assemblage of objects (O) is present in the area (A).