Radio Wave Reradiation/Reflection TRIZ Cases

Phase normalization compensates carrier frequency shifts in beat signals, improving AoA and range estimation for clearer radar image maps.

Weighted object tracking and heading-angle estimation correct a target vehicle's transverse position during lane changes for steadier ADAS control.

A braced SAR corner reflector with survey pins and GNSS monitoring maintains sub-centimeter position stability for long-term satellite calibration.

Backscatter arrays within one SAR resolution cell replace large corner reflectors and feed known parameters into image calibration.

Time-of-flight sensing maps overhead and side obstructions so control circuitry can calculate usable vehicle clearance and guide safer maneuvers.

A separate pivoting arm below the outside mirror lets the rear sensor avoid equipment blockage and detect low-height objects more effectively.

Varying FMCW chirp start and stop frequencies with DDM phase coding separates concurrent MIMO transmit channels and improves range resolution.

Baseband signal processing estimates radar and GNSS antenna phase centers in situ, avoiding feed-port access and preserving system integrity.

Varying chirp density across MIMO radar antennas expands velocity range to SIMO level while reducing velocity aliasing and preserving angular resolution.

Passive radar reflectors let a following vehicle track a lead vehicle and hold constant spacing in agricultural fields without lane markings.

Space-time block codes give MIMO radar transmitters orthogonality, cancelling cross-correlation noise and improving moving target detection.

Subarray sum and difference beam profiles help airborne radar separate targets from main lobe and sidelobe clutter.

A passive notch filter in a Van Atta-style retroreflective antenna adds identifiable frequency features without a power supply, cutting weight and cost.

Machine learning fuses raw radar with camera and LiDAR data to reduce ambiguity and improve object detection in adverse weather.

Rotary connectors and segmented azimuth-elevation axes expand radar coverage while keeping target tracking synchronized and precise.

Fusing radar, lidar, camera, and V2V data extends target detection range and improves identification in adverse weather for autonomous vehicles.

Varying chirp transmission density across MIMO radar bursts expands velocity range and reduces aliasing while preserving angular resolution.

Fan-shaped transmit and receive beams with refractive beamformers cut radar analysis effort while improving spatial selectivity and imaging speed.

Using paired 1D phased arrays with trough reflectors, this case raises space-object tracking rates without 2D array complexity or dish steering.

Radar detects surface and subsurface reflective patterns to keep vehicle positioning accurate in snow, darkness, and obscured parking areas.

Rotating reflectors modulate onboard radar returns to deliver sub-meter bearing guidance for small landing areas when GPS is inaccurate or disrupted.

Phase-converted local oscillation signals disperse and correct interference, helping vehicle radar avoid false target detection.

Dynamic phase and amplitude tuning sharpens resonance-based material detection by reducing interference and manual beam control.

Alternating pre-chirp and main chirp intervals help automotive radar separate overlapping object distance and velocity data for ADAS.

Phase-shifted dual RF paths control signal polarization in radar arrays to improve target detection accuracy in dynamic environments.

Radar reflectors let a following vehicle track a lead vehicle's position and spacing in open fields where fixed lanes are unavailable.

FFT-based range-Doppler peak mapping helps lateral vehicle radar distinguish stationary from moving objects at orthogonal angles.

Moving-target feedback updates bumper shape and correction angles to counter radar distortion from bumper deformation in autonomous driving.

A folded Rotman lens with stacked waveguides and miter bends maintains constant phase shift over wide bandwidth in compact mmWave radar.

Calibration horns near the feed array and in the sub-reflector enable safe phase alignment and coherent transmission in high-power planetary radar.

Vehicle motion characteristics and radar coordinates maintain accurate guardrail and tunnel tracking despite weak parallel-return signals and ghost targets.

Equal transmit and receive array spans create virtual ULA channels that boost vehicle radar angular resolution without larger antenna hardware.

Digital encoding in the 100 GHz to 3 THz range enables high-resolution spatial mapping with lower analog circuit complexity and better weather robustness.

Iterative gain and phase calibration aligns AESA transmit nulls with clutter locations while preserving EIRP for near-ground detection.

Rotational calibration estimates nodal displacement, gain-phase variation, and cross-coupling to improve radar angle accuracy without external equipment.

Boundary-line prediction lets vehicle radar estimate object orientation from few measurements, improving long-range direction accuracy.

Crossing-point counting resets radar tracks to filter ghost detections and improve object estimation accuracy for ADAS.

Different frequencies across array elements create repeating interference patterns that locate targets in azimuth and range without steerable receivers.

By matching IDs in overlapping sensor zones, this case prevents misrecognition and keeps object tracking continuous across blind-spot boundaries.

Longitudinal speed filtering and motion prediction help vehicle radar remove wheel Doppler ghosts for more accurate relative speed control.

Combining virtual receiver, range, and Doppler data from multiple radar chips improves target detection range and angular resolution.

Periodic frequency slope changes let radar processors isolate interference signals and reduce ghosting for more accurate target detection.

Static roadside radar detections define roadway edges, enabling more reliable lane assignment for dynamic objects without map or orientation dependence.

Periodic FMCW parameter tuning and triangular modulation help vehicle radar sensors detect pulse interference and reduce cross-sensor signal overlap.

Radar-based stationary target ratios correct ego-vehicle speed despite mounting angle errors and wheel sensor inaccuracies.

By filtering candidate radar signals and generating recognizable assist signals, this case improves object detection in cluttered weather conditions.

Concatenated radar frames disambiguate Doppler velocity and enable accurate 3D vehicle ego motion estimation beyond unambiguous speed limits.

A spherical lens and matched curved reflector improve passive radar echo return, easing installation while increasing measurement precision.

Near-field horn calibration replaces complex far-field alignment to cohere multiple radar antennas in TX and RX for rapid large-aperture setup.

Two-dimensional regression corrects intragroup and intergroup radar phase errors caused by temperature and aging, improving angle estimation.

Multi-scan radar and vision fusion uses Dempster-Shafer hypotheses to improve vehicle object tracking while quantifying uncertainty.

Frame-to-frame bit frequency analysis lets vehicle radar flag ghost targets and correct target location without added absorbers.

Sequential local-frequency checks separate continuous wave signals from FSK and MFSK noise, improving detector reliability.

IR-UWB waveform processing estimates tissue dielectric properties to reconstruct noninvasive cross-sectional body images for early detection.

Moving a reference object or its reflection portion creates temporal signal changes that separate reflected waves from noise for accurate sensor adjustment.

Using short and long observation windows, this case improves radar detection of dynamic and micro-motion targets without missing timeliness.

Overlapping radar zones let a processor resolve target handoff between spaces, improving location status tracking with less privacy intrusion.

Road-topology-based radar transmit settings improve range, speed, and angle sensing reliability for vehicles in dynamic conditions.

By splitting channel sequences across transmitters with overlapping timing, this radar approach shortens coherence time and improves fast-target detection.

Phase-coded chirps and reference symbols let coexisting vehicle radars decode bits despite interference and multipath, improving detection accuracy.

Ground-plane radar responses are modeled to estimate sensor height and angle without factory calibration, targets, or special alignment equipment.

By ordering objects in radar range and selecting same-direction targets, this case expands ADAS traffic simulation freedom and realism.

Occupancy-guided beamforming and time-domain codes improve multi-target radar detection while reducing sidelobe interference and power use.

A camera-calibrated world coordinate frame lets radar targets be mapped to real-world ROI boundaries more accurately and intuitively.

Echo-based target tracking predicts future position and sets fluctuation-aware search areas to reduce clutter-driven mis-tracking.

A guided stop position and fixed radio signal source let vehicle radar recalibrate distance and direction estimates after drift or defects.

Regularized Wirtinger Flow with ADMM denoisers reconstructs phaseless passive SAR images from fewer measurements on constrained platforms.

Uses first- and second-order reflected sensing signals to improve wireless target localization accuracy with monostatic or bistatic sensing.

Using one antenna with an OMT and delay lines, this radar captures full polarimetric data to detect concealed objects with lower cost and complexity.

Thin-film lithium niobate modulators generate and de-chirp broadband mmWave radar signals while easing DAC and ADC bandwidth limits.

A single-board phased-array radar cuts component count and power draw while preserving object detection for small UAVs.

Cuts out non-reflective SAR signal regions and wraps echo timing to reduce high-squint data volume without increasing memory capacity.

Temporary corner reflectors and vibrating targets simplify in-cabin RADAR calibration, improving vital-sign detection without specialized shop equipment.

A two-stage radar evaluation screens occupied resolution cells first, cutting compute load and energy use while preserving real-time high-resolution detection.

Simultaneous encoded ultrasonic transmission pairs waveform peaks across devices to separate true object echoes from clutter and improve distance accuracy.

A space-frequency array extends SFCW MIMO radar beyond spatial geometry limits, enabling 3D multi-target localization with relaxed element spacing.

Bounding-shape reference edges and filtered radar measurements improve Kalman tracking of multi-portion objects with lower error and compute cost.

By reusing Wi-Fi and Bluetooth transmit and receive chains, integrated radar enables low-cost presence detection and localization.

Progressive phase rotation in digitally modulated radar suppresses IQ imbalance artifacts, reducing sidelobes and ghosts in range-Doppler maps.

An initial two-way calibration enables single-message ranging cycles that cut power and channel use while preserving distance accuracy.

Radar signal attenuation detects radome ice or snow early, enabling localized heating control that avoids unnecessary energy use in vehicles.

Compensates antenna-channel line length mismatch in MIMO UWB radar to improve range and angle estimation through phase shifts during transmit or FFT.

Angle-dependent scaling of stationary-target velocity deviations reveals radome or installation-induced radar angle errors more reliably.

Polynomial correction and channel state data reduce multipath RTT and RSSI errors, improving wireless access point location accuracy.

Density-based clustering and track fusion correlate uncertain multi-sensor airspace reports into clearer target positions and a combined air picture.

Spectral radar analysis extracts fundamental tones and statistical features to classify UAV types more accurately with fewer false alarms.

Directly attaching the radar antenna to its operation unit cuts installation space while extending vehicle sensing coverage day and night.