Acoustic Wave Reradiation TRIZ Cases

Alternating ultrasonic burst frequencies separate obstacle echoes from structural noise and reverberation for reliable near-field distance sensing.

Combining direct and indirect wave triangulation with area-based confirmation improves object position accuracy and suppresses false vehicle warnings.

Multi-sensor diffuse reflection noise detection filters false ultrasonic echoes to improve obstacle positioning during vehicle parking.

Ground echo variance lets vehicle ultrasonic sensors classify wet, icy, or rough roadway conditions without adding cameras.

Multiple underbody ultrasonic transceivers map the ground in real time to detect minimum clearance without calibration and help prevent damage.

Dual-frequency echo amplitude ratios reveal misaligned vehicle ultrasonic sensors after snap-in installation, protecting detection zone accuracy.

Alternating acoustic bursts at different frequencies separate obstacle echoes from reverberation and structural noise for reliable near-range sensing.

Path segments are classified by moving-object entry risk using inhibiting objects, allowing higher speed limits in protected zones without raising contact risk.

Virtual objects and indirect TOF comparison help distinguish parking-path obstacles from ultrasonic noise for smoother, safer parking.

Adjacent vehicle ultrasonic sensors capture crosstalk to detect signal distortion from aging or environment, improving obstacle recognition reliability.

Sequential ultrasonic beams with varied direction or frequency enable trilateration of 3D object reflection points across a wider vehicle sensing range.

Virtual objects and indirect TOF comparison help ultrasonic parking sensors separate noise and locate obstacles inside or outside the path.

Adaptive chirp frequencies and time-based filtering extend ultrasonic detection range while reducing ground-wave false alarms.

Distance-aware sample selection and velocity weighting keep ultrasonic training data balanced, improving object classification reliability.

Uses the downward non-directional component of ultrasonic waves to detect underbody abnormalities and objects without adding extra sensors.

Frequency-domain cross-correlation of reflected ultrasonic pulses extracts Doppler shift for reliable real-time object speed detection.

AIS vessel tracks and sound estimation automate hydrophone label creation, cutting manual annotation time for sonar ML training.

Parallel multi-frequency correlation identifies true ultrasonic echoes under noise and Doppler shift while avoiding costly threshold tuning.

Multiple ultrasonic measurements are statistically combined to reduce noise and deliver more reliable vehicle object height estimation.

Using repeated distance readings and vehicle travel distance, one ultrasonic sensor estimates object height without multi-position sensor layouts.

Local wind-speed calculation lets ultrasonic sensors estimate vehicle state autonomously and cut ECU communication load for stable object detection.

Coded excitation with inverse filtering boosts ultrasound SNR and suppresses range lobes, improving slow-flow visibility through attenuating tissue.

Direct-wave intensity is used to estimate air absorption and correct reflected-wave sensing, improving ultrasonic object detection in changing temperature and humidity.

Multiple vehicle ultrasonic sensors use separated driving frequencies and guard-bands to avoid interference and speed data updates.

CNNs process volumetric forward-looking sonar data to improve real-time seafloor mapping and in-water target classification with fewer false alarms.

Ultrasonic echo features are classified to distinguish pedestrians, vehicles, obstacles, and noise near a vehicle for faster driver assistance response.

Shift-position-based random delays stagger vehicle ultrasonic transmissions to prevent synchronized interference and keep object detection accurate.

Randomized transmission delays based on vehicle approach state prevent ultrasonic timing overlap while preserving detection response.

Adaptive contrast processing adjusts sonar image brightness and color by distance, water clarity, depth, and object features to preserve visibility.

A shared sensor housing combines ultrasonic and audible vibration sensing to simplify vehicle installation, wiring, and model-specific integration.

Selectable live sonar views combine wide real-time coverage with a user-defined focused image for clearer underwater detection and navigation.

Spatially shifted sub-arrays and interpolation improve acoustic velocity measurement by reducing bias, noise, and correlation loss in small apertures.

Low-power non-ultrasound sensing activates ultrasound only when targets enter the right field of view, cutting energy use while preserving accuracy.

By controlling switch sweep time across transmission elements, the system adjusts searchable angle without hardware changes or bandwidth tradeoffs.

Orthogonal Doppler-spread sonar sequences cut receiver complexity while enabling accurate underwater object detection, position, and speed tracking.

A transparent acoustic deflector aligns optical and ultrasound images for low-distortion 3D skin localization and surgical planning.

Side-lobe ground echoes are used to calibrate vehicle ultrasonic sensors, improving elevation and azimuth accuracy while excluding erroneous reflections.

Multi-ultrasonic fusion masks combine current and predicted echoes to suppress ghost objects and improve vehicle surrounding map accuracy.

Splitting beamforming between probe and host cuts cable data load while easing probe heat and power limits without sacrificing image depth.

Soundwave reflection analysis detects and tracks object motion in darkness without line-of-sight limits or visual privacy concerns.

Overlapping multichannel beams and integrated sensors help sonar quickly recover bottom lock, reducing imagery loss and improving bathymetric data.

Reflection point dispersion and echo behavior help vehicle ultrasonic sensors distinguish curbs, pedestrians, trees, and walls with fewer errors.

Coarse beamforming and beam segmentation cut split-aperture sonar computation while preserving high-resolution image quality.

Two chirp excitation signals and voltage profile modeling reveal ultrasound sensor diaphragm icing or contamination for reliable self-diagnosis.

An internal actuator rotates the sonar transducer in the water, avoiding manual removal and speeding vertical beam adjustment.

Transmission frequency is tuned to the receiver’s resonance behavior, reducing direct-wave ringing and improving close-range acoustic detection.

Machine learning interprets volumetric forward-looking sonar data in real time to improve seafloor mapping and in-water target classification.

A foot-pedal-driven motorized shaft lets a forward sonar transducer rotate independently of the trolling motor for precise hands-free scanning.

Varying test-signal frequency and amplitude maps transducer aging drift, improving vehicle ultrasonic measurement reliability over time.

High-speed Thunderbolt streaming lets a portable probe use PC GPU processing for real-time spatial compounded harmonic ultrasound imaging.

Combining trilateration in overlapping ultrasonic fields with fallback distance detection preserves object location coverage when sensors fail.

Magnetic-core compensation suppresses primary-field interference for cleaner TEM signals.

Edge-based echo detection filters environmental noise to improve obstacle reliability in automotive ultrasonic sensors.

A signal generator disconnects from a parallel resonant circuit to induce a phase shift that actively dampens ultrasonic transducer vibrations.

Segmenting sensor arrays into sub-antennas reduces covariance matrix estimation time while maintaining effective noise suppression through spatial diversity.

Phase shift keying replaces frequency modulation in sonar waveforms to prevent marine mammals from misinterpreting active sonar as killer whale communications.

A detection device switches interference processing sensitivity based on signal counts to differentiate echoes from noise.

A 1.5D array probe uses a switching unit to connect central and end element rows to shared channels for dynamic aperture control.