Separate analog processing chains generate independent transmission and local wave signals in a radar synthesizer.
Precomputing propagation loss in lookup tables resolves the contradiction between high measurement precision and excessive calculation complexity.
A control unit adjusts FCM radar computation modes based on other sensor data to prioritize measurement targets.
A radar signal processing unit dynamically adjusts processing conditions based on real-time load states to maintain operational stability.
Segmenting a single physical chirp into multiple virtual chirps enables parallel processing paths that reduce target detection time and false detection rates.
Segmenting coarse and fine estimation stages with non-uniform search spacing reduces computational complexity while maintaining angular resolution.
Opposite phase shifts on baseband signals suppress interference between sector radars without synchronizing transmission cycles.
A radar device synthesizes reception signals with Doppler processed signals to improve signal-to-noise ratio.
Hidden Markov Models classify target motion from pulsed radar signals, reducing computational complexity and noise interference.
Analyzing radar reflection properties classifies road surfaces, enabling vehicle systems to adjust parameters for safer operation on gravel or asphalt.
A frequency-modulated continuous-wave radar system embeds phase-encoded data symbols into the transmitted signal to enable simultaneous communication and obstacle detection.
Merging radar detection with vehicle-to-vehicle messaging eliminates bus system latency and reduces hardware complexity.
Dynamic weight adjustment based on feature variance improves radar pulse source identification accuracy while minimizing processing consumption.
A distance measurement system reduces signal frequency to extend wavelength for precise phase comparison.
Entropy minimization aligns radar return pulses to resolve range walk misalignment and improve detection reliability.
Overlaying ground-penetrating radar and magnetic field outputs on a shared axis resolves interference between detection methods to locate buried pipes.
Dynamic detection cycle adjustment breaks synchronization with periodic sea clutter, enhancing target object detection accuracy.
Selecting optimal recurrence frequencies minimizes signal loss and desensitization caused by atmospheric clutter echoes.
Segmenting radar integration intervals reduces computational complexity while maintaining high velocity resolution through staged hypothesis testing.
Stationary targets provide reference frames for diagonal sensors, eliminating video equipment complexity while maintaining precise alignment.
Segmenting transmission signals into partial waves enables phase spectrum comparison for accurate object detection with reduced false alarms.
A vehicle cladding equilibration body reduces radar wave attenuation caused by varying wall thickness, improving sensor detection range and resolution accuracy.
A radar receive data reduction method divides echo signals into spectral sub-bands and adjusts sampling rates based on active windows.
Differential processing of time domain signals before Fast Fourier Transform improves intermediate frequency signal purity.
A phased-array radar system interleaves weather detection and object detection modes using rapid electronic beam steering.
Estimation before detection reduces radar signal processing loss through sparse recovery algorithms.
A joint communication radar system uses frequency estimation outputs for velocity and range estimation.
A passive tracking system uses polarized Wi-Fi signals and channel state information to locate individuals.
Adding random noise to a pseudo-random signal allows a 1-bit ADC to resolve range profiles via cross-correlation, overcoming quantization limits.
A voltage ratio measurement system predicts tissue properties using volume integral equations and vector Green's functions.
Orthogonal code sequences phase-modulate FMCW radar signals to separate objects by distance and speed using dual Fourier transformations.
Phase-gradient estimation with dynamic sliding windows removes ground clutter to resolve noise reduction versus time lag trade-offs.
A radar-based screening system creates three-dimensional temporal signatures from moving subjects to detect concealed objects without requiring stillness.
Analyzes synchronous and asynchronous responses per spatial cell to identify transponder saturation, enabling precise adjustment of radar interrogation rates.
Cross-verifying blind spot detections with parking assist sensors reduces false warnings from external ultrasonic sources without adding hardware.
A 2D radar device determines 3D coordinates of moving targets using a known tilting angle and mounting height.
A radar interference rejection device calculates amplitude and phase change amounts across multiple sweeps to identify superimposed signals.
A vision-based radar system processes 2D CPI heatmap images to classify weather signals and clutter patterns.
Selective output of reception versus correlation data suppresses clutter signals while preserving high-speed target detection accuracy.
A radar data compression unit processes high bandwidth information into low bandwidth formats compatible with electronic flight bags.
A radar device detects multiple stationary targets by analyzing relative velocity differences between the sensor and objects.
A radar sensor control device detects erroneous antenna signals by forming signal subsets and evaluating correlation values against predefined criteria.
Slave radar system-on-a-chip measures phase noise in master transmission signals using dedicated detection circuitry.
A rotational scanning antenna array uses positioning triggers to control movement angles for three-dimensional imaging.
A false lock filter circuit uses parallel low and high bandwidth filters to process radar detector outputs.
A radar-enabled wireless communication device classifies beam directions to adapt transmission power.
Segmenting chirps into two groups with distinct pulse repetition periods resolves range rate ambiguity without multi-frame de-aliasing latency.
Segmented beat signal processing detects time-varying interference frequencies to suppress broadband noise while maintaining azimuth detection accuracy.
Continuous integration hardware-in-the-loop testing detects software bugs in radar updates, reducing deployment time and resource consumption.