Radio Wave Reradiation/Reflection TRIZ Cases

Fusing active radar with passive RF spectrum data helps UAS traffic systems classify targets, reduce false positives, and deconflict airspace in real time.

Partitioning coherent and non-coherent radar data across separate evaluation units enables parallel processing while reducing computational load and transmission rates.

LASSO-based sparse recovery with ISTA and ADMM lowers PMCW radar sidelobes, improving dynamic range and weak-object detection.

Position tracking guides portable radar scans across adjacent target areas, avoiding gaps and overlaps while preserving high-resolution imaging.

Wide-beam transmit and receive guard antennas compare signal strengths to blank sidelobe clutter and reduce false radar returns.

A velocity-based correction lowers the Doppler noise floor so weak radar signals masked by strong peaks become detectable.

Combining scrambled and unscrambled continuous-wave components helps RF sensing resist cross-node interference while preserving target-detection performance.

Using radial velocity from at least three stationary objects, the radar estimates 3D ego motion without costly ADMA sensors.

Combining Doppler bins into range-based vectors helps locate moving clutter and reduce false alarms while preserving radar target detection.

Adaptive radar regions of interest use vehicle speed and steering angle to filter irrelevant data, reducing processing complexity for autonomous vehicles.

Inertial and radio navigation can lose precision or face interference; radar checks ground beacons and reflectors to validate aircraft position.

Radar networks learn from stored echoes and past decisions to focus waveforms and processing on suspicious targets.

The method isolates I and Q paths, pairs shifted power readings, and calculates phase error from mixer leakage and path imbalance.

Hierarchical filtering extracts Doppler features from reflected radar waves, retaining more scene information while limiting computing and memory demands.

Optical images provide accurate annotations while conversion generates pseudo-SAR training data, reducing errors and expanding data for object detection.

Reference DS-TWR responders provide clock-offset information so an initiator can correct time-of-flight measurements for simpler UWB devices.

Real-time atmospheric measurements feed an advanced propagation model to validate radar-based altitude calculations and improve aircraft altitude control.

Raw radar time-series features generate spikes for an SNN, avoiding Fourier transforms to capture subtle child and adult movements.

Overlapping reflections hinder multi-target detection; iterative receiver gating expands time windows after each detection to separate targets.

A CWFM radar shifts signal frequency and phase in response to interferers, reducing amplitude and phase noise during object detection.

Haar wavelet processing retains more radar information while reducing computing and memory demands for automotive object detection.

A separate detector uses reader CW-signal characteristics and tag backscatter to improve RFID location tracking in FHSS environments.

Intermittent block skipping shortens SAR acquisition, while multi-coset range migration and DnCNN improve microwave image quality.

Planar radar layouts restrict azimuth coverage; multiple subunits on body faces provide 360° detection for parking assistance.

Radar-equipped vehicles preserve trajectories and event data for more accurate accident reconstruction and fault determination.

Two single-polarized SAR satellites coordinate bistatic transmission and reception to capture quad-polarization data without complex dual-polarization antennas.

Fixed covariance matrices can lose tracking accuracy as radar conditions change; SNR-based updates adapt the Kalman filter.

Raw radar data feeds a spiking neural network directly, preserving time-series information for adult–child classification.

Radar and camera detections are fused with single-sensor flags to remove radar-only objects suspected of error.

Network nodes use UE feedback to select participants and configure low-resolution ADCs, improving distributed sensing accuracy and efficiency.

Mechanical articulation switches radars between distributed-aperture resolution and wide-field coverage, reducing modules in autonomous vehicles.

A multistatic antenna array uses analog or digital beamforming to resolve scattering centers and characterize objects in near-field conditions.

Ill-posed inverse filtering is split into smaller blocks with TSVD regularization to speed reconstruction and improve image resolution.

Phase-modulated sequences place antenna signals on equally spaced Doppler bands, reducing overlap and improving target speed estimation.

Using position, attitude, and surface-feature data, the radar modifies beam operations to limit building and tree reflections during altimetry.

Fusing tailgate camera and short-range radar data improves trailer angle estimates at high angles and helps prevent jack-knife events.

An active antenna cycles transmission across discrete pointing directions to refresh wide scenes quickly while limiting digital beam-forming demand.

Large antenna spacing can sharpen angular resolution but create phase ambiguities; two antenna sets combine differential phase shifts to find unique target angles.

Adaptive compensation updates only when no target is detected, canceling TX-RX crosstalk while preserving close-range radar sensing.

Multiple stationary transmitters and aircraft receivers combine reflected radar packets to locate aircraft and airborne targets for collision avoidance.

Radar waveforms are tailored to target characteristics and operational limits, improving detection accuracy and sensitivity beyond universal settings.

Microwave signal strength and attenuation estimate radar distance at sampled positions, replacing laborious range testing with visual maps.

Frequency-shifted I and Q receiver paths move signals away from DC to use ADC bandwidth while limiting IQ imbalance effects.

Decentralized radar heads send signed or encrypted data to a central unit, reducing sensor complexity and power use.

A constant-frequency test tone uses existing radar signal paths to improve receiver synchronization testing without extra loopback hardware.

A shifted reference LO and virtual array move IQ imbalance into angular processing while preserving radar dynamic range.

WTRU bi/multi-static measurements use feedback and dynamic reference-signal configurations to improve NR target location accuracy.

Multiple EW receivers use interleaved scan schedules, adaptive allocation, and blanking to detect and track agile LPI emitters.

Trailer alignment and radar reflections act as a mirror to identify concealed objects and correct ghost detections.

A handheld radar-on-chip forms super images from reflected signals for contactless concealed-object screening and alerts.