Radio Wave Reradiation/Reflection TRIZ Cases

By fusing terrain and obstacle databases with radar returns, this case schedules scans around risk areas to detect hazards earlier with fewer sweeps.

Random-phase pulse scheduling lets one radar alternate SAR imaging and a second mode in a common echo window without sacrificing range or refresh.

Random-phase pulse sequences let one radar alternate SAR imaging and other modes in a common time window without sacrificing range performance.

Frequency-shift compensation across radar ramps keeps moving-object peaks sharp, improving distance and relative-speed separation in vehicles.

Autoregressive prediction on stepped-chirp Doppler FFT data sharpens down-range resolution and improves target range and velocity estimates.

Selective FFT and CFAR processing resolves Doppler ambiguity while limiting computation for accurate target range and velocity detection.

Alternating radar pulses across frequency bands and polarizations enables simultaneous multi-mode detection without sacrificing refresh rate or range.

Horizontal radar scans identify weather cells, then selective vertical profiling refines local and nearby weather with less scan time and data transfer.

Heading-based sub-band assignment lets multiple vehicle radar transceivers avoid mutual interference while hysteresis prevents unstable switching.

Alternating pulse groups across two frequency bands lets one detection radar run dual Doppler modes with shared refresh timing and fewer false alarms.

Interleaved local oscillator signals from leader and follower radars cut chirp setup time, avoid unusable segments, and improve detection accuracy.

Solution separation and integrity checks filter false multi-sensor tracks before guidance, reducing display clutter and mis-associations.

Complex-value interpolation and precomputed correction tables sharpen radar altitude estimates for VTOL landing in urban environments.

Specific antenna pairs and imaging areas are assigned per projection direction to avoid mixed surface data and improve belongings detection.

Distributed RFID readers switch between interrogator and listener modes to cut self-interference and improve tag range and location accuracy.

Rain clutter in vehicle millimeter-wave radar is processed into wind speed and direction data using Doppler RV signals and vehicle motion.

Online phase-offset correction in radar receiver sub-arrays improves angle estimation under temperature drift by using single-target phase analysis.

Embedded BFSK binary codes between radar chirps enable software correlation for accurate synchronization without extra hardware triggers.

Using chirps with different slopes, the radar matches beat and Doppler frequencies to identify and remove noise-induced pseudo targets.

Adjustable vents regulate sensor pod heat to prevent overheating or freezing, helping autonomous vehicle sensors stay clear and reliable.

Range-zone screening with sine filters triggers angle estimation only where presence is likely, cutting radar computation and false positives.

Fused multi-sensor radar point clouds and per-point ML features improve AV object detection, tracking, and ambiguity reduction.

UWB two-way ranging and sensor fusion let UAV swarms maintain precise relative positioning when GPS is unavailable.

Cross-correlation with transmission signal replicas suppresses multipath and separates SDM-MIMO radar signals for more accurate target direction estimation.

Varying chirp transition timing and frequency-change rates spreads FMCW radar spurs, reducing false targets without extra processing.

Sensor data is reduced to a 1D fluctuating signal so vehicles can detect and classify adults, children, or pets with lower memory use.

Redundant moving detection units calculate multiple target locations in real time while bounding error, detecting corruption, and avoiding single-point failure.

A single UWB transceiver uses radar reflections and time-of-flight data to track body motion accurately without IMU drift or added transceivers.

Frequency-based phase control aligns transmit antenna beams to improve radar distance, angle, and velocity measurement in complex scenes.

A three-stage radar track classifier detects angel phenomena and filters false echoes while preserving slow-moving target detection.

Fused weather radar, ADS-B, FIS-B, and GPS data helps crews assess changing conditions and view recommended flight path adjustments.

Preselected broadcast sources and radar reference positioning enable synchronized false targets that are harder for passive radar operators to recognize.

Doppler-based comparison of measured and anticipated radial velocity corrects radar sensor misalignment without fixed landmarks.

Iterative strongest-target subtraction and joint parameter refinement improve radar angular separation, contrast ratio, and ghost target removal.

Alternating chirp repetition cycles and velocity residual analysis help vehicle radar separate folding ghosts from real targets and avoid false warnings.

A position-check step compares external and sensor-detected reference targets, skipping full vehicle sensor calibration when deviation stays within tolerance.

Relative motion and SAR processing replace slow two-axis aiming to calibrate angular scanning radar across the full field of view in minutes.

Individually controlled EM frontends simulate complex radar scenes without prior modulation knowledge, improving OTA test flexibility and realism.

A single crystal oscillator and trigger synchronize cascaded FMCW transceiver chips, removing RF distribution lines to cut size and power.

Comparing positive and negative Doppler energy over time helps radar identify swaying clutter and avoid false detections from grass and trees.

Variable CFAR window length adapts radar thresholds to changing sea clutter, cutting false alarms and improving target detection.

Compressive sampling and implicit neural reconstruction improve millimeter-wave imaging accuracy while cutting antenna count, bandwidth, and power.

Non-uniform transmit and receive antenna spacing suppresses grating lobes, improving 2D angle accuracy and resolution with fewer antennas.

Varying radar beam patterns across repeated transmissions improves cluster selection and suppresses noise and multipath reflections.

Interchirp-time switching between fast and slow power loops cuts FMCW radar power dissipation while preserving range-dependent output power.

Near-field beamforming on delay-Doppler maps lets distributed vehicle radar localize objects in 3D despite sparse curved antenna layouts.

Specular multipath reflections create virtual LOS paths, enabling sub-cm NLOS localization and sub-1° orientation without environment profiling.

Multi-frequency radar reflections derive relative velocity, enabling SAR-based estimation of unknown chipless RFID tag patterns.

A configurable hysteresis stage refines FMCW radar interference detection to improve signal-to-noise ratio and reduce ghost objects.

Using simultaneous radar chirps at different carrier frequencies, this case resolves ambiguity while preserving high frame rate and angular resolution.