Feed-forward filter reflection system cancels amplifier-generated harmonics to prevent masking of target responses.
A radar receiver maintains frequency stability using a stable local oscillator and digital signal processing to compensate for transmitter drift.
Iterative least squares deconvolution refines radar channel estimates by modeling non-linear power amplifier distortion, restoring measurement precision.
Dynamic repetition periods and hypothesis selection resolve velocity aliasing for accurate detection.
A target detection method using angle estimation to distinguish real targets from ghost signals in MPSK-MIMO FMCW radar systems.
Ground-oriented radar beams combined with velocity-based Doppler filtering detect incoming munitions without scanning latency.
Sequential estimation of closest target parameters reduces computational complexity and noise interference in multi-target FMCW MIMO radar systems.
Hybrid sparse subarray design with two-step processing achieves high-resolution 2D DOA estimation, reducing data processing burden and hardware requirements.
Bayesian inference combines phase and gain variations to estimate total mass, resolving the trade-off between detection precision and processing complexity.
A radar sensor estimates tangential velocity using phase differences across antenna elements.
A radar receiver uses a bank of matched filters to process return signals from a remote target.
Storing reference data for static features reduces computational load and improves reaction time in critical traffic situations.
A radar speed module integrates GPS positioning and accelerometer data to track patrol vehicle motion parameters.
A signal processing apparatus dynamically adjusts an intensity threshold based on previous peak counts to constrain the number of extracted target peaks.