Radio Wave Reradiation/Reflection TRIZ Cases

Separating the radar electronics from the antenna with waveguides and a metasurface improves resolution, lowers energy use, and protects impact-prone parts.

Time-varying resonators create phase shifts that cancel Doppler signatures, helping moving targets appear stationary across radar bands.

Separating direct and reflected 4D radar returns helps estimate road plane, incline, and surface conditions for safer vehicle control.

A pivotable side sensor tracks trailer articulation to maintain lateral coverage and avoid blind spots and ghost detections during turns.

Aggregated radar measurements are compared with existing map data to correct errors, keep maps current, and improve vehicle localization.

A spaced reflector redirects radar beams and returns to cover regions beyond 120° while excluding unwanted detection zones.

Uses a vehicle-side attachment element as a built-in calibration reference to restore surroundings sensor position accuracy without external targets.

Adjustable phase shifters and combiners let one radar transceiver support more MIMO antennas without the cost of adding full receive and transmit channels.

Radar-based ground speed sensing helps heavy-duty vehicles stay controllable when GPS is unreliable by lowering wheel slip set-points when radar accuracy drops.

Motion sensors and transformation matrices correct antenna position shifts in real time, preserving phased array signal accuracy under shock, vibration, and heat.

Radar signal filtering and beamformed distance-angle heatmaps improve in-vehicle human detection speed and accuracy with lower computation.

A software-defined beam control scheme lets one vehicle radar adapt to front, corner, or side mounting without hardware changes.

UWB, IMU, and camera sensing improve trailer localization and path prediction while simplifying calibration and surround view stitching.

Software-selectable beam control lets one vehicle radar adapt to different mounting positions and alignments without hardware changes.

A 2D MIMO antenna array switches row and column beamforming modes to improve angle sensing precision with fewer orthogonal signals.

Tracks object entry and exit in closed sensor blind spots to confirm presence accurately without movement estimation or false danger alerts.

Time-varying resonators compensate Doppler phase shifts so moving targets appear stationary and evade MTI radar detection.

Embedded or reflector-mounted calibration antennas correct phased array phase errors, enabling faster, lower-cost tracking of space objects.

Cross- and co-polarized backscatter at one radar frequency separates wet, dry, rough, and smooth road surfaces with lower system complexity.

Multiple environmental models validate a primary vehicle trajectory across sensor subsets to improve autonomous driving reliability in dynamic conditions.

Dynamic switching between short-range high-resolution and long-range modes helps vehicle radar keep angular resolution while extending detection.

Overlapping automotive radars compare target power levels in real time to detect degradation, trigger calibration, and maintain measurement accuracy.

Segmented cabin reflectors steer radar toward front and rear seats, improving occupant detection while limiting noise from multiple reflections.

Non-uniform FMCW chirps vary frequency, timing, and slope to improve vehicle radar range resolution, velocity detection, and angle ambiguity.

Variable antenna tilt during horizontal radar scans improves SNR and SCR for microburst detection while limiting ground-clutter false alerts.

APS-based spectral analysis helps vehicle radar distinguish multiple objects within narrow detection angles, even with low-spec hardware.

High-frequency piston sensing with a collimator improves axial position accuracy in hydraulic cylinders without complex magnetostrictive sensors.

Pilot signals injected during radar quiet periods correct receiver phase and gain drift without disconnecting antennas.

Alternating modulated and non-modulated radar pulses enables both long-range monitoring and accurate wave observation in one unit.

An LWA filter bank splits wideband FMCW signals into sub-bands to improve angle and range resolution without lossy phase shifters.

Phase-based noise estimation helps radar distinguish weak target returns from noise, improving long-range ADAS object detection and tracking.

Occlusion-region checks and target position-speed comparison help vehicle radar identify and remove multi-reflection ghost targets.

Phase-coherent MIMO radar creates a virtual sensor to capture elevation angles while reducing processing load and correcting sensor misalignment.

A floor dielectric layer with controlled permittivity and thickness suppresses indirect millimeter-wave reflections to stabilize reception power.

Vehicle motion and Doppler processing let a linear radar antenna estimate target elevation accurately without complex 2D antenna arrays.

Kernel density estimation on candidate range areas helps automotive radar separate stationary targets from steel tunnel clutter.

Grid-based occupancy mapping adapts radar thresholds to vehicle motion and overlap zones, improving stationary object detection around vehicles.

Shifted radial velocity values across concatenated radar frames resolve Doppler ambiguity for accurate 3D vehicle ego motion estimation.

Dynamic radar distance changes are matched to trailer motion models to distinguish towed trailers from other objects with higher certainty.

Complementary complex STBC sequences cancel stationary-clutter cross-correlation noise, improving moving-target detection and range dynamic range.

Different-frequency modulated and non-modulated pulses let one solid-state radar handle wave observation and remote target monitoring.

Passive corner cube reflectors boost radar cross section and Doppler return, helping vehicles detect cyclists and pedestrians earlier.

Multiple-scan hypotheses and probability scoring fuse radar and vision tracks to improve vehicle object tracking with quantifiable uncertainty.

Combining high- and low-frequency radar with tailored correlation improves point-cloud quality, object detection, and velocity sensing in varied weather.

A high-permittivity dielectric layer refracts low-angle radar signals toward a retroreflective layer, boosting radar cross-section in poor weather.

Using stationary-object speed differences and linear regression, this case corrects radar misalignment faster with less computation.

A two-stage radar pipeline uses bin-rejection masking and varied pulse intervals to cut memory load and reduce Doppler ambiguity.

Relative-speed clutter prediction extends radar lane occupancy detection beyond resolution limits for more reliable driver assistance.

Orthogonal radar polarization angles cut in-vehicle mutual interference, preserving signal-to-noise ratio and detection precision.

This radar approach combines grouped TDM and intra-group CDM signaling to reduce phase noise and improve velocity ambiguity resolution.

A SILO injects the monopulse difference signal, enabling sensitive detection of tiny movements for posture and motion analysis.

A wireless STA combines range measurements, displacement, and particle filtering to estimate indoor distance and direction.

Sequentially switched transmission elements simplify target detection while preserving beamforming.

Autoregressive signal extrapolation builds full-rank covariance data for radar DoA estimation with imperfect antenna calibration.