Background Noise Recording for Ultra-Short-Range Radar Measurement
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Solution Overview
Problem
Existing wireless circuitry in electronic devices struggles to accurately estimate distances, particularly at short ranges, due to challenges in configuring radar circuitry to detect both long and ultra-short ranges with sufficient dynamic range.
Innovation Solution
The implementation of reconfigurable high pass filters and digital background noise cancellation in radar circuitry allows for accurate distance measurement by switching between long-range and ultra-short-range detection modes, using FMCW radar operations to record background noise and perform phase measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Length of stationary object
If wireless circuitry uses standard radar operations for distance estimation, then long-range detection is achieved, but ultra-short range measurement precision deteriorates
Solution Approach 1:
The system dynamically switches between different detection modes (long-range radar mode and ultra-short range phase measurement mode) based on the detected distance. This dynamic adaptation allows the system to optimize measurement precision for each range domain, resolving the contradiction between achieving wide detection range and maintaining high precision at ultra-short ranges.
Solution Approach 2:
The system changes measurement parameters based on range: using frequency-modulated continuous-wave radar parameters for long-range detection and phase measurement parameters for ultra-short range detection. This parameter adaptation enables the system to achieve both long-range capability and high precision at short distances.
2Measurement precision
If wireless circuitry performs background noise recording for all range conditions, then measurement accuracy improves, but system complexity and processing overhead increase
Solution Approach 1:
The system performs background noise recording in advance during calibration phases when no objects are present. This preliminary action captures the environmental and device-specific noise characteristics, which are then stored for later subtraction from measurements. This approach improves accuracy without requiring continuous complex processing during normal operation.
Solution Approach 2:
The system converts the harmful effect of background noise into a beneficial reference signal. By recording and storing the background noise profile, the system can subtract this noise from subsequent measurements, effectively eliminating its harmful impact and improving measurement accuracy.
3Measurement precision
If wireless circuitry uses phase measurements for ultra-short range detection, then measurement precision improves, but reliability deteriorates due to sensitivity to device placement and surface variations
Solution Approach 1:
The system converts the device-specific and surface-specific reflections, which initially appear as harmful noise, into a beneficial background reference signal. By recording these reflections during calibration and subtracting them from measurements, the system eliminates their harmful variability and improves measurement reliability.
Solution Approach 2:
The system uses feedback from background noise recording to compensate for placement and surface variations. The recorded background signal serves as a reference that is continuously applied to correct measurements, allowing the system to maintain high precision and reliability across different operating conditions.
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 approach enables precise distance measurement within ultra-short ranges by filtering out interference and maximizing signal-to-noise ratio, ensuring accurate detection regardless of device placement or surface variations.
Implementation Method 1
The transmit antenna may transmit radio-frequency signals. The receive antenna may receive reflected signals corresponding to the transmitted radio-frequency signals.
Implementation Method 2
reconfigurable high pass filters and digital background noise cancellation in radar circuitry allows for accurate distance measurement by switching between long-range and ultra-short-range detection modes
Implementation Method 3
the one or more processors may identify phase information from the received reflected signals and may subtract the recorded background noise from the phase information
Data Source
AI summary
An electronic device may include wireless circuitry with a transmit antenna that transmits signals and a receive antenna that receives reflected signals. The wireless circuitry may detect a range between the device and an external object based on the transmitted signals and the reflected signals. When the range exceeds a first threshold, the wireless circuitry may use the transmitted signals and received signals to record background noise. When the range is less than a second threshold value, the wireless circuitry may detect the range based on the reflected signals and the recorded background noise. This may allow the range to be accurately measured within an ultra-short range domain even when the device is placed in different device cases, placed on different surfaces, etc.