Motion Detection Using Cross Packet Cancellation
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Solution Overview
Problem
Existing motion detection technologies face challenges in efficiently and accurately detecting human motion, particularly in environments where false positives or missed detections can occur.
Innovation Solution
The proposed solution involves an electronic device equipped with a radar transceiver and a controller that transmits and receives packets, compensates received packets, performs cross packet cancellation, and determines packet differences to detect motion. This method uses cross packet cancellation to distinguish between different packets and determine if an object is detected based on packet differences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional motion detection methods are used, then detection coverage is provided, but false positives and missed detections occur reducing accuracy
Solution Approach 1:
The patent segments the motion detection process into multiple independent packet processing stages. Each packet is processed separately through compensation and cross-packet cancellation operations, allowing precise identification of motion-related differences while filtering out false positives. This segmentation enables accurate detection by analyzing individual packet characteristics rather than relying on aggregate signals.
Solution Approach 2:
The patent introduces intermediary processing steps including packet compensation and cross-packet cancellation as mediator operations. These intermediary processes act as filters between the raw radar signals and the final detection output, eliminating false positives and missed detections by comparing and canceling out unwanted signal components before motion determination.
2Measurement precision
If packet compensation and cross packet cancellation are performed, then detection accuracy is improved, but processing complexity increases
Solution Approach 1:
The patent implements continuous packet compensation and cross-packet cancellation operations that process multiple packets in sequence. By maintaining continuous processing of packets through standardized compensation and cancellation routines, the system achieves high detection accuracy while managing processing complexity through efficient iterative operations rather than requiring complex one-time calculations.
Solution Approach 2:
The patent employs parameter changes in the packet compensation process, adjusting signal parameters such as phase, amplitude, and timing to optimize packet alignment and difference calculation. These parameter adjustments enable accurate motion detection by transforming packets into comparable forms, reducing the complexity of direct comparison while maintaining high precision in detecting motion-related differences.
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
The solution effectively reduces false positives and improves detection accuracy by compensating and canceling packets to isolate motion-related differences, thereby enhancing the reliability of human motion detection.
Implementation Method 1
A frequency modulated continuous wave (FMCW) radar is type of radar that scans a field-of-view (FOV) by transmitting one or more chirps. A chirp is a radio frequency (RF) signal that is modulated, for example, by sweeping through a range of frequencies over a chirp duration.
Implementation Method 2
The transmitted chirp (or a portion thereof) may then be scattered by an object and reflected back to the FMCW radar. In general, the reflected chirp is a time-delayed version of the transmitted chirp.
Implementation Method 3
The FMCW radar can also be used to estimate a velocity of the object by transmitting a sequence of chirps. If the object is moving, then a sequence of reflected chirps will be received by the FMCW radar after different time delays from respective transmitted chirps, and thus the velocity of the object can be estimated, for example, by using a digital signal processing technique such as a Doppler FFT.
Data Source
AI summary
The application discloses a motion detection method and an electronic device applying the same. A plurality of transmission packets are transmitted and a plurality of received packets are received. A received packet among the plurality of received packets is compensated into a compensated received packet. Cross packet cancellation is performed on the compensated received packet. A packet difference between the compensated received packet and another received packet among the plurality of received packets is determined. Whether an object is detected based on the packet difference is determined.