Radio Wave Reradiation/Reflection TRIZ Cases

This case calibrates radar baseband chains from magnitude responses and applies digital phase equalization to correct channel deviations.

Preserve coherent bistatic radar imaging despite rough-surface motion.

Sniffing chirps assess unused radar channels before switching, reducing blockages from overlapping vehicle radar frequencies.

Windowed I/Q signals and RSS processing improve Doppler radar frequency estimation without complex demodulation or dc offset calibration.

Stored calibration data corrects MIMO antenna phase and gain mismatches, improving AoA spectrum quality, PSLL, and SNR.

This case matches measured and theoretical 2D spectrograms using flight time and Doppler offset to estimate radar speed and distance.

Modular RF emulation combines range, cross-sectional area, Doppler, and spatial controls to test radar against complex moving targets.

Distributed radar devices and optical links accelerate 3D point-cloud processing for real-time vehicle motion information.

Concurrent FFT sizes combine long-range speed resolution with fast updates for maneuvering radar targets.

Optical radar links speed micro-Doppler movement detection around vehicles.

Repeated low-frequency pulses and receiver sampling expand data for improved range and angular resolution without high-rate electronics.

This radar calibration case uses measured reference-object distances to update angle correction despite mounting changes.

Multiple Doppler FFT sizes combine distant-target speed resolution with fast updates for closer radar targets.

Adaptive radar control reduces vehicle-to-vehicle interference and improves risk detection.

A synchronized code-symbol sequence lets radar authenticate echoes and resist record-and-replay attacks that can create false targets.

Multiple SAR angles and extended-dwell pointing reveal material-specific backscatter curves for faster classification in complex scenes.

A wake-up module activates millimeter-wave radar only when needed, enabling stable non-contact height measurement with lower energy consumption.

Single-frame angle estimates are calibrated against multi-frame FFT results to reduce distortion in tunnels and near guardrails.

Radial velocity spectra help radar imagery identify feeding flocks and turn complex sensor returns into intuitive displays.

A phased-array radar on one chip uses coherent mixing for portable, contactless detection of concealed objects without physical searches.

This radar case uses omitted pulses and active rest-period reception to detect targeted interference without special hardware.

Electromagnetic positioning aligns a movable detector with the radiographic head across body positions, preserving imaging conditions.

Multipath measurements and LOS/NLOS indicators help sensing entities distinguish radio paths and improve target location accuracy.

This radar signal method clusters targets by azimuth and uses SNR statistics to remove false targets and reduce processing saturation.

This radar case combines multiple cycle coordinates and statistical grouping to correct angle-related velocity errors for precise tracking.

Distributed radar devices use optical links and central point-cloud processing to deliver reliable vehicle movement data.

This case processes direct and reflected jamming signals to derive target range and improve imaging beyond GPS-based radar limits.

An XR-based built-in test balances relative I/Q amplitude and phase across AESA quadrants while supporting health monitoring.

A synchronized radar pair uses FFT processing and LOS signal-strength thresholds to detect targets with less computation.

This case scales radar target data to device resolution, improving measurement accuracy and reducing simulation complexity.

This case uses base stations, tags, and feedback control to align a movable detector with the radiographic head across imaging positions.

This case uses onboard 3D radar data and touchscreen region selection to reveal weather details for safer flight-path planning.

This radar case estimates frequency crossover timing, pauses transmission briefly, and compensates for missing data to preserve accuracy.

Dual-interval sampling measures object motion and distance with Doppler and FM-CW signals.

A mismatch calibrator uses antenna calibration data to compensate phase and gain variations across MIMO radar receive arrays.

This radar control approach mixes signals and applies a compensation window to improve reflectivity estimation across frequencies.

A feature pyramid feeds specialized detectors with range, velocity, and angular data to distinguish stationary reflectors efficiently.

Optical modulation addresses radar bandwidth limits and suppresses Ghost targets.

This radar approach uses Doppler radial velocities from ground reflections to estimate ego velocity without multi-frame object tracking.

Vehicle radar uses IMU acceleration data to compensate for range migration, extending Doppler processing for sharper velocity estimates.

This radar method combines Doppler hypotheses and odometry to estimate intrinsic vehicle speed despite reflected-signal ambiguities.

A radar chip switches ramp parameters at decision points when an interference indicator is received, preserving measurements and timing.

The control unit detects and predicts process amounts, then distributes signal processing tasks across DSPs to reduce idle time.

Movement-locus averaging stabilizes radar angular error estimates as vehicles recede.

This case combines FMCW ranging, head-shoulder analysis, reflection thresholds, and trajectory sampling for multi-person detection.

Scenario-selected radar interference models improve automated driving simulation realism.

Cumulative histograms identify and remove interference in FMCW radar signals, helping preserve accurate object distance and speed detection.

This radar case uses nested FMCW ramp groups and coarse-to-fine FFT processing to balance range resolution, velocity range, and latency.

Unique reference and individual codes separate simultaneous transmitter signals for high-speed, high-resolution moving-object detection.

This impulse radar switches gated and non-gated receiver modes to balance short-range sensitivity, long-range detection, and energy use.