Radio Wave Reradiation/Reflection TRIZ Cases

Single beam antenna detects objects via direct and indirect multipath signals, reducing antenna complexity while maintaining angular coverage.

Spectral transformation of GMTI data reduces human bias and inconsistency in target identification.

Digital mixer segmentation eliminates complex synthesizers, enabling rapid frequency agility while preventing signal jamming and interference.

A radar sensor estimates 3D position using beat frequency signals extracted from varying carrier frequencies.

A target search system determines transmission waveform parameters to achieve a desired process gain.

A polarimetric difference algorithm cancels surface clutter in subsurface imaging radar by weighting vertically and horizontally polarized SAR images.

A radar sensor processing chain uses heterodyne downconversion and chirplet transforms to extract signal parameters before point cloud generation.

An onboard radar detects nearby aircraft without external cooperation, reducing runway incursions.

A radar signal sending method allocates specific time domain ranges to prevent mutual interference between in-vehicle millimeter wave radars.

Digital signal processing estimates angle-of-arrival from reflected signals, enabling collision avoidance for birds and UAVs without primary radar costs.

Transpositional modulation embeds unique identifiers in radar returns to distinguish authentic skin echoes from electronic countermeasure decoys.

Electronic scanning radar apparatus computes phase information using a CAPON method to detect target distance and azimuth with high accuracy.

A movable radar apparatus identifies virtual images by comparing behavior changes across multiple sensing positions.

A multiple aperture SAR interferometry method transforms azimuth derivatives to isolate and remove ionospheric phase errors from radar data.

Segmenting the frequency band into parallel channels achieves fast sensing speed while maintaining excellent frequency characteristics.

A radar system determines communication channel characteristics to optimize detection signal properties.

A radar system transmits continuous-wave and frequency-modulated signals simultaneously to produce beat signals for object detection.

Comparing consecutive chirp signal samples identifies interference deviations, enabling targeted suppression that preserves target detection accuracy.

Active RF domain repeaters amplify attenuated radar signals and provide angle information to resolve non-line-of-sight target localization errors.

A multiple antenna lobe receiving system processes overlapping beam signals to track target movement and correct channel mismatch errors for precise angle estimation.

Processing device calculates occupancy probability from multiple sensor signals, resolving conflicts in radar data and improving detection reliability.

A radar tracking method organizes measurements into time-ordered clusters for precise object detection.

Compensates dynamic object movement in radar signals to resolve angular resolution limits and defocus errors in automated driving.

A target tracking camera uses millimeter-wave backscatter to detect and follow moving objects without human intervention.

Group sparsity based low-rank and sparse decomposition extracts targets from dense traffic interference, reducing noise floors.

A radio modem exchanges chirp-modulated signals to estimate device range with low power consumption.

Processing signals from dual electronic scanning antenna arrays determines target site and azimuth without relying on interrogation mode information.

A near-field electromagnetic search system uses virtual focusing to detect concealed objects.

Processor isolates non-cooperative targets by removing cooperative surveillance data from radar inputs, reducing computational requirements.

Correction circuit processes equidistance-based signal strength data to cancel noise from object reflectance and size variations.

Machine learning evaluates range-doppler maps from radar signals to identify objects, reducing noise impact and improving detection reliability.

A cascaded radar system applies a frequency offset to convert bumper reflections into direct current offsets for filtering.

A sensor blockage detection method splits time windows into partitions to evaluate performance indicators and identify fast total blockage events.

Aggregating radar spectrogram data into a computer vision model for vehicle object classification.

Segmented radar returns sum into a null response, isolating terrain elevation from weather contamination without extra hardware.

A radar device uses a doppler correction phase-rotation controller to pre-correct transmission signals based on vehicle speed.

A cubic polynomial model maps sea clutter voltage to enable four-parameter sensitivity time control filtering, resolving short-range detection trade-offs.

A radar architecture merges passive and active sensors into a cooperative coalition to expand surveillance coverage.

Load sensor feedback calibrates radar measurements against varying soil conditions, resolving detection precision trade-offs.

A detection device samples reflected radio waves and extends signal duration to identify targets accurately.

An FMCW radar system segments frequency spectra to isolate detection bands and dynamically adjusts threshold values for precise target identification.

Autonomous image interrogation detects airborne threats, eliminating manned chaperone costs.

Software algorithms analyze beat signals to identify abnormal frames, enabling deception countermeasures without adding hardware components.

A phased array automotive radar system uses a 2D antenna array for electronic beam steering.

Range-dependent azimuth scaling and derotation eliminate azimuth aliasing in TOPS SAR image formation.

Segmenting transmission into periodic blocks resolves Doppler ambiguity while maintaining high angle resolution without increasing device complexity.

Radar sensors generate range and velocity data to identify living subjects, resolving occlusion and lighting issues that limit vision systems.

Splitting processing windows reduces hardware complexity and power consumption while maintaining signal quality.

Periodic mode switching maintains detection accuracy by avoiding continuous low-pass filtering while suppressing radio wave interference.