Radar Leakage Cancellation for Pattern Code Detection
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Solution Overview
Problem
Existing electronic devices face challenges in accurately detecting their environment and identifying pattern codes due to interference from leakage signals, especially in close-range radar detection, which affects the reliability of identifying objects and determining device placement.
Innovation Solution
The implementation of a radar-based system in electronic devices that transmits and receives radar signals to detect objects, determines if they include pattern codes, and identifies range information to select relevant signals for decoding, using techniques such as leakage cancellation and machine learning classifiers to improve detection accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Difficulty of detecting and measuring
If radar signals are transmitted for close-range detection, then detection capability is improved, but leakage signals cause interference and reduce detection reliability
Solution Approach 1:
The patent extracts and removes leakage signals from the radar reception system by identifying them as distinct signal components and separating them from the actual target reflections. This allows the system to maintain close-range detection capability while eliminating the harmful interference that compromised reliability.
Solution Approach 2:
The patent introduces an intermediary signal processing stage that acts as a mediator between the radar transmitter and the detection algorithm. This intermediary layer processes the raw radar signals to cancel leakage components before the actual target detection occurs, thereby protecting the detection reliability without sacrificing detection capability.
2Measurement precision
If radar signals are transmitted to detect pattern codes, then identification accuracy is improved, but signal interference reduces measurement precision
Solution Approach 1:
The patent converts the harmful leakage signals into beneficial information by analyzing their characteristics to identify and cancel them. The same signal interference that initially degraded measurement precision is transformed into a useful mechanism for improving pattern code identification accuracy through targeted signal cancellation.
Solution Approach 2:
The patent implements feedback mechanisms where the system continuously monitors the radar signal characteristics, identifies leakage patterns, and adjusts the cancellation filters accordingly. This feedback loop enables the system to adapt to varying interference conditions and maintain high measurement precision for pattern code detection.
3Reliability
If leakage cancellation is applied to improve detection reliability, then system complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-characterizing leakage signal patterns and preparing cancellation filters before actual detection occurs. This advance preparation reduces the computational burden during real-time detection, thereby improving reliability without proportionally increasing system complexity.
Solution Approach 2:
The patent utilizes parameter changes by adapting the cancellation filter characteristics based on detected signal conditions. Rather than using fixed complex processing, the system adjusts parameters dynamically to match the actual leakage patterns, achieving high reliability with manageable computational 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
Enhances the reliability of close-range radar detection by effectively canceling leakage signals and accurately identifying pattern codes and device placement, enabling better context-aware functionality in electronic devices.
Implementation Method 1
The radar transceiver is configured to transmit radar signals and receive reflected signals
Implementation Method 2
receive reflected signals from the target object
Data Source
AI summary
A method for close-range detection, includes transmitting, via a radar transceiver, radar signals to detect an object. The method also includes determining whether the object includes a pattern code based on reflections of the radar signals received by the radar transceiver. In response to determining that the object includes the pattern code, the method includes identifying range information about a range between the electronic device and the pattern code. The method further includes selecting, based on the range information, one or more signals from the reflections of the radar signals that are reflected off of the pattern code. Additionally, the method includes identifying, based on the one or more signals, information about the pattern code.