ArticleSensors (Basel, Switzerland)2025
Cross-Attention Transformer for Coherent Detection in Radar Under Low-SNR Conditions.
Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- AIS-Based Radar Error Correction Using a Vision Transformer Variant for Range and Azimuth Error Reduction.Sensors (Basel, Switzerland) · 2026Article
- Ground Maneuvering Target Detection and Motion Parameter Estimation Method Based on RFRT-SLVD in Airborne Radar Sensor System.Sensors (Basel, Switzerland) · 2026Article
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Authors and funding
3 authors.
Funding
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Abstract
Detecting weak echoes from low-RCS targets in pulsed radar systems presents significant challenges, as conventional coherent accumulation methods require extended dwell times that reduce data rates and suffer from target-motion-induced migration. We propose RD-Transformer, an end-to-end attention-based architecture that reformulates coherent integration as a learned feature fusion problem. The framework integrates multi-pulse transpose preprocessing, dual-path self-attention encoders for transmitted and received signals, and a cross-attention decoder to extract transmit-receive interaction features. A tunable sigmoid-based gating mechanism enables flexible false alarm control during inference. Experiments on synthetic pulsed-radar data demonstrate that, under identical false alarm constraints (P
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