Radio Wave Reradiation/Reflection TRIZ Cases

A radar sensor computing unit assigns initial movement direction to new objects using stored data from previous detections at identical positions.

Two radar sensors emit fan-shaped lobes at different incidence angles to determine object elevation, reducing antenna complexity and processing load.

A single transmitter drives multiple antennas through signal paths of varying electrical lengths to generate precise phase differences for orthogonality.

A greedy target detection algorithm adds a complex DC component to the residue signal and estimates noise variance to determine when to stop iterating.

R4 correction factor adjusts near field radar image strength based on geometric mean distances.

Adaptive basis functions update coefficients to estimate local radar plot density, balancing statistical uncertainty with spatial resolution.

A scattering aperture imaging method transforms non-line-of-sight radar data into line-of-sight synthetic aperture images.

Vehicle-mounted radars transmit indication signals to coordinate resource usage, reducing mutual interference and improving detection accuracy.

Radar sensing extracts delay, Doppler, and angle attributes to guide sparse recovery algorithms for accurate channel estimation.

A sensor system assigns unique chirp patterns to each unit for reliable detection.

Modified CLEAN-Notch and non-linear sidelobe-reduction algorithms eliminate downrange artifacts from spectral notching, restoring high-quality radar imagery.

A multi-channel SAR method suppresses azimuth ambiguity through linear mapping reconstruction and channel cancellation.

Iterative composite signal processing identifies and subtracts dominant target waveforms, suppressing side lobe interference to reveal weaker nearby objects.

Order statistic processing sets thresholds using non-contiguous reference regions, suppressing noise interference to improve target detection accuracy.

Sidewall detection circuitry identifies multiple reflection wave components using Doppler velocities and azimuth angles to filter false signals.

Radar sensor unit filters moving target artifacts using Doppler processing and velocity thresholding.

Multi-position ultra-wideband radar imaging calculates distance variations to identify 3D object positions without image comparison overhead.

Controller differentiates frequency modulation patterns across multiple radars to eliminate radio wave interference without elongating detection intervals.

A radar apparatus determines bumper condition by comparing reception levels of reflected wave signals against a preset threshold.

A radar reflection recognition component compares velocity data to identify false returns from intermediate objects.

Transmitting pulses at varying frequencies allows the system to correct folding errors, improving measurement precision for high-speed targets.

A radar detector suppresses false alarms from vehicle guidance systems using a variable sensitivity lockout region based on stored signal frequencies.

A radar device divides frequency bands to equalize center frequency differences and transmits signals in time division.

A locator transponder embeds spread spectrum watermarking in radar echo signals for precise target identification.

Dual antenna SAR system uses octave bandwidth and signal processing to maintain image quality on small UAVs.

Segmented columns and a cable-driven counterweight lower the center of gravity, preventing tipping on uneven shop floors.

Real-time scan status indicators resolve pilot uncertainty regarding weather radar latency and responsiveness during active scanning operations.

Phase calibration compensates clock offsets between coupled transmitters, enabling scalable antenna configurations for accurate detection.

ETF4ZDT algorithm transforms azimuth matched filter domains to calculate precise relative distances in synthetic aperture radar systems.

DSP extracts interfering signal components to preserve radar range and accuracy.

Windowed CNN analysis of range-Doppler maps selects target indices, resolving detection threshold complexity and improving reliability.

Explicit signal model compensates for waveform separation residuals to improve moving object detection accuracy.

Millimeter wave radar detects weather hazards using spectral width and reflectivity data to overcome atmospheric signal attenuation.

A SAR image compression method transforms airborne radar data into a differential image using onboard reference files for transmission.

An electromagnetic imaging system uses an interference detection unit to analyze measurement signals for external radiation.

Comparison signals from distributed transceivers suppress phase noise, enhancing distance measurement accuracy without a common carrier.

A sub-millimeter wave imaging system uses pulse modulation to transform DC bias levels into high-frequency signals for effective filtering.

Segmenting wide-beam SAR images into sub-images allows localized phase error correction, resolving spatially varying errors that degrade azimuth resolution.

Vehicle computing system validates radar pitch using elevation sidelobe measurements to resolve manual calibration bottlenecks and maintain detection accuracy.

A radar apparatus calculates approaching velocity using electromagnetic wave phase and frequency changes for efficient target tracking.

Adding distinct offset values to reference thresholds adapts detection sensitivity, reducing false alarms from clutter while enhancing weak target visibility.

A vehicle radar apparatus detects axis deviation by analyzing road surface reflection intensities in beat signals.

Multi-angle submillimeter radar overcomes specular reflections to enhance object discrimination in complex environments.

Delaying second transceiver frequency ramps prevents simultaneous transmission, eliminating interference and erroneous detections in overlapping fields of view.

Adaptive gating adjusts gate size using Doppler measurements during initialization, resolving fixed gate limitations that cause missed high-speed targets.

Phase feature extraction reduces computational complexity while maintaining over 80% accuracy in radar-based human activity recognition.

A signal processing device reconstructs three-dimensional information with reliability to calculate phase signals across varying imaging conditions.

Adaptively determines clutter region boundaries from range-Doppler data to reduce misclassified data and lower processing power requirements.

A radar apparatus applies phase rotations to transmission signals from multiple antennas, creating uneven Doppler shift intervals on the frequency axis.

A radar device updates an attribution degree database using multi-sensor inputs for accurate object classification.