Radar Technology

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통찰 - Radar Technology

DART: Doppler-Aided Radar Tomography for Novel View Synthesis

DART ist eine NeRF-inspirierte Methode für die Synthese von Radarbildern aus neuen Blickwinkeln.

DART: Implicit Doppler Tomography for Radar Novel View Synthesis

DART proposes a novel method, Doppler Aided Radar Tomography, inspired by Neural Radiance Fields, to synthesize radar range-Doppler images and create high-quality tomographic images.

Range-Angle Estimation for FDA-MIMO System With Frequency Offset Analysis

Frequency diverse array multiple-input multiple-output (FDA-MIMO) radar range-angle estimation with frequency offsets requires denoising algorithms to mitigate colored noise.

Adaptive LPD Radar Waveform Design with Generative Deep Learning

Proposing a novel method using generative deep learning to create low probability of detection radar waveforms that blend into the RF background while maintaining sensing capabilities.

DART: Implicit Doppler Tomography for Radar Novel View Synthesis

DARTは、レーダーの新しい視点合成のための暗黙のトモグラフィを学習し、リアルなレーダー範囲-ドップラー画像を正確に合成します。

Resolving Full-Wave Through-Wall Transmission Effects in Multi-Static Synthetic Aperture Radar

Proposing a method to resolve full-wave effects through walls in multi-static SAR for improved image formation.

Multistatic Radar RCS-Signature Recognition of Aerial Vehicles: Bayesian Fusion Approach

The authors propose a fully Bayesian framework for Radar Automated Target Recognition (RATR) using multistatic radar configurations, demonstrating significant improvements in classification accuracy and robustness.

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