RF Motion Detection Using Segmented Pulse and Quiet Period Processing
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Solution Overview
Problem
RF sensing applications face challenges in resolving objects at lower frequencies due to bandwidth limitations, requiring continuous data processing that strains processing and memory resources, especially for motion tracking which demands high-resolution, time-varying environment monitoring.
Innovation Solution
The approach involves transmitting RF signals in segmented pulses with a quiet period, aggregating reflections into single data points, and detecting patterns in amplitude and phase changes over time to classify motion, reducing the need for continuous data processing and resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If continuous data processing is used to monitor time-varying environment for motion tracking, then measurement precision is improved, but processing resources and memory resources are strained
Solution Approach 1:
The patent divides continuous signal transmission and processing into discrete segments with N pulses followed by quiet periods. This segmentation allows the system to process reflections in batches rather than continuously, reducing processing resource strain while maintaining motion detection capability through periodic sampling of amplitude and phase data
Solution Approach 2:
The patent maintains continuous motion detection capability through periodic pulse transmissions and quiet periods, where reflections are aggregated into single data points per segment. This approach ensures useful action continues without requiring full continuous processing, balancing measurement precision with resource conservation
2Device complexity
If N pulses are transmitted followed by quiet period with M times the pulse duration, then processing resources are reduced, but data collection frequency is lowered
Solution Approach 1:
The patent merges N individual pulse reflections into a single aggregated data point per segment, combining multiple measurements into one comprehensive data representation. This merging reduces the volume of data requiring processing while preserving motion detection information through collective analysis of reflected signals
Solution Approach 2:
The patent implements periodic action by transmitting N pulses followed by quiet periods in repeating cycles. This periodic structure allows the system to collect data at regular intervals rather than continuously, reducing processing resource usage while maintaining adequate data collection frequency for motion detection applications
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
This method effectively detects and classifies motion using fewer signal transmissions, significantly reducing processing resources required, while maintaining accuracy in detecting periodic motion patterns.
Implementation Method 1
a transmitter, a receiver, and a processor. The processor may cause the transmitter to transmit pulses of an RF signal, the reflections of which are received by a receiver
Data Source
AI summary
The present disclosure is directed to motion detection and recognition using segmented data from reflections of transmitted signals. An apparatus includes a transmitter, a receiver, and a processor. The processor may cause the transmitter to transmit pulses of an RF signal, the reflections of which are received by a receiver. For each of a number of consecutive segments, the transmitter may transmit N pulses of the RF signal, followed by quiet period. The processor may determine amplitude and phase data for reflections received by the receiver. Over a number of consecutive segments, the processor may detect and classify the amplitude and phase data change over time.