Radio Wave Reradiation/Reflection TRIZ Cases

A controlled moving target simulates human motion to create known Doppler shifts for unbiased, reproducible calibration of through-barrier radar.

Front and rear radar antennas with logic filtering remove double-bounce and cosine false targets while extending same-direction speed detection.

A shared-housing radar and camera align fields of view to improve close-range object and motion detection for parking and slow-speed maneuvers.

Motion sensor data is used to separate radar vibration from real object motion, cutting noise and false target detection.

A reference signal self-check detects interference in radio distance measurement, helping machines keep safe spacing without slowing operation.

Camera and LiDAR tracks guide radar processing to likely object locations, reducing compute load while preserving tracking accuracy.

Signal separation of direct and ground-reflected mmWave echoes helps locate pedestrians or animals beside a vehicle despite front-vehicle interference.

Multiple lock down points and interpolated slant ranges let SAR image non-planar terrain with less distortion, defocusing, and geo-registration error.

Multiple receive antennas and back-projection processing improve real-time moving target positioning accuracy and speed extraction.

Phased-array beamforming and tag-group tuning extend passive metamaterial tag detection range while enabling precise 3D tracking.

Consecutive pulses with different modes, directions, bands, and polarizations let one radar multitask with equivalent refresh times.

Alternating two radar center frequencies helps vehicles avoid multipath missed detections and raise ADAS tracking confidence.

Radar measurement signals carry data and ranging together, avoiding extra frequencies while enabling secure, interference-resistant mesh communication.

Orthogonal two-phase coded pulses use Walsh-based optimization and dual PRIs to reduce radar range ambiguity, occlusion, and velocity ambiguity.

Block-wise DCT subbands and latent encoding compress SAR images for lower bandwidth use, faster transmission, and InSAR support.

A 2D-FFT plus 2D-MUSIC workflow lets a 2T4R vehicle radar detect distant objects with higher angle and distance accuracy without antenna upgrades.

Using two chirps with different start frequencies, this radar estimates phase difference to separate close targets and measure stationary objects.

When mud, dust, or debris degrade RF sensing, node roles are reassigned to preserve presence and location detection quality.

Code and Doppler multiplexed radar signals detect multiple distance ranges at once, improving target accuracy while limiting processing time.

Radar and camera fusion helps cyclists detect rear targets, estimate vehicle size, and assess passing threat more accurately.

By matching transmit slope to the interfering signal, radar can estimate bandwidth and periodicity faster for more precise interference avoidance.

Co-registered SAR images use differential layover offsets to derive dense, fine-resolution 3D point clouds without phase coherence.

Sequential transmit processing and non-uniform linear antenna spacing increase virtual antenna use for finer radar resolution and wider coverage.

Tracks feature-parameter inertia across time to separate overlapping targets and improve single-antenna radar object counting.

Known static objects in a radar map anchor fast magnitude calibration, improving radar return accuracy without lengthy recalibration.

Overlapping fixed antenna beams and multi-channel monopulse processing speed SAR imaging while improving resolution and suppressing clutter.

Combining FMCW radar, PIR sensing, and machine learning helps battery cameras cut false triggers, save power, and avoid unnecessary video capture.

Chirp pair timing lets one FMCW radar self-synchronize to another through in-band tone detection, avoiding GPS or wired timing links.

Fourier-based coarse search and iterative refinement estimate range, velocity, and acceleration faster for nearby-object collision avoidance.

Multiple low-tech radars along a flight corridor use trilateration to track several objects accurately with lower cost, setup burden, and interference.

Distributed sub-array processing with unsupervised learning cuts throughput bottlenecks and latency in phased-array jamming response.

Grouping multiple FMCW radar detections into representative data improves object distance, velocity, and angle stability in dynamic conditions.

Recursive thresholding uses prior chirp thresholds to suppress varying radar interference without added latency, improving detection accuracy.

An LMS feedback approach estimates and calibrates radar channel gain and phase imbalance in real time, even with multiple targets present.

Adaptive analog summing and noise-statistics feedback help radar extract weak target echoes while limiting saturation and clutter interference.

STFT-domain sparse reconstruction removes strong, long-duration radar interference in real time to preserve target detection in vehicles.

A polyamide-carbon composite balances 77 GHz microwave absorption with mold flow and impact strength for thin automotive radar parts.

Recursive thresholding uses prior chirp thresholds and current samples to suppress varying radar interference without added latency.

Frequency-shifting CDM cuts cross-channel residue and noise floor in MIMO radar while preserving efficient processing and weak target detection.

A shared UWB anchor frame structure combines radar signaling with DL-TDoA ranging to improve compatibility and real-time resource use.

Directional radar clustering uses shared V2X parameters to separate FMCW subchannels and reduce inter-vehicle radar interference.

Tolerance stack-up analysis predicts ADAS sensor misalignment on working vehicles, improving calibration planning and reducing metrology cost.

Non-coherent accumulation across chirp frames cuts FMCW radar FFT memory use while preserving obstacle detection accuracy and improving SNR.

Unique chirp-to-chirp phase shifts let multiple radar transmitters operate simultaneously while reducing target-signal interference and ambiguity.

A modified Doppler filter directly processes ADC samples to mitigate range migration, improving radar resolution and processing efficiency.

Super-resolution processing and clustering isolate the true nearest vehicle reflection, improving near-range radar distance accuracy for ADAS.

Frequency-shift CDM separates MIMO radar channels to cut residue and noise floor while improving Doppler dynamic range for weak target detection.

Different PRIs across networked radars resolve ambiguous velocity and range while preserving high radar resolution in autonomous sensing.

Graph-based radar reflection embeddings avoid ROI preprocessing, cutting computation while improving object classification accuracy.

Filters radar clutter by checking spatial and time-based reflection patterns, improving road user recognition without delaying vehicle response.