Complex-Valued Hierarchical Fusion Network for Single-Frame Cross-Range Velocity Estimation With Millimeter-Wave MIMO Radar

IF 3.5
IEEE Transactions on Radar Systems Pub Date : 2026-01-01 Epub Date: 2026-09-29 DOI:10.1109/TRS.2026.3737716
Bochuan Wu;Xiaodong Zhuge
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Abstract

Conventional frequency-modulated continuous-wave (FMCW) processing directly measures radial velocity but does not provide the cross-range component from a single Doppler peak. This limitation constrains real-time motion sensing in short-range applications, especially in automotive traffic scenarios involving pedestrians and vehicles. This article investigates whether weak motion-induced curvature and joint chirp–antenna phase structure can support single-frame estimation of the 2-D in-plane velocity vector with a compact 24-GHz 2Tx–4Rx multiple-input multiple-output (MIMO) radar. A hierarchical dual-branch network is proposed: a position branch processes a complex range–angle (RA) map for localization, while a velocity branch processes complex range–velocity (RV) and velocity–angle (VA) maps together with a magnitude range–Doppler (RD) map for kinematic estimation, followed by a transformer decoder for set-based multitarget prediction. On simulated multitarget scenarios at short range, the method achieves an $F1$ -score of 0.959 (full held-out test set, gate-2.0 global Hungarian matching) with root-mean-square errors (RMSEs) of 0.64 and 1.05 m/s for radial and cross-range velocity, respectively, and an $F1$ -score of 0.904 with a cross-range RMSE of 1.894 m/s on a frame-disjoint, within-session real-world pedestrian evaluation. On the same real evaluation, the sign-error rate is 19.8% and the $\vert $ vcr $\vert $ RMSE is 1.52 m/s; an independent simulated diagnostic evaluation (not the primary $F 1=0.959$ result) yields 7.5% and 0.86 m/s. These results indicate that cross-range velocity is estimable from a single frame with a compact array. Detection accuracy decreases as the number of targets increases in the evaluated multitarget scenarios. Across the evaluated 0–20 m range, cross-range RMSE remains 1.04–1.14 m/s, while the simulated sign-error rate increases from 2.8% at 0–5 m to 13.3% at 15–20 m.
用于毫米波MIMO雷达单帧跨距离速度估计的复值分层融合网络
传统的调频连续波(FMCW)处理直接测量径向速度,但不提供单个多普勒峰值的跨距离分量。这一限制限制了实时运动传感在短距离应用中的应用,特别是在涉及行人和车辆的汽车交通场景中。本文研究了弱运动诱导曲率和联合啁啾天线相位结构是否可以支持紧凑的24 ghz 2Tx-4Rx多输入多输出(MIMO)雷达的二维平面内速度矢量的单帧估计。提出了一种分层双支路网络:位置支路处理复杂的距离-角度(RA)图进行定位,速度支路处理复杂的距离-速度(RV)和速度-角度(VA)图以及幅度-距离-多普勒(RD)图进行运动估计,然后使用变压器解码器进行基于集的多目标预测。在模拟的近距离多目标场景中,该方法在径向和跨距离速度下的F1得分为0.959,均方根误差(RMSE)分别为0.64和1.05 m/s;在帧不相交、会话内的真实行人评估中,F1得分为0.904,跨距离RMSE为1.894 m/s。在相同的真实评价下,符号错误率为19.8%,$\vert $ vcr $\vert $ RMSE为1.52 m/s;独立的模拟诊断评估(不是主要的F 1=0.959$结果)的收益率为7.5%和0.86 m/s。这些结果表明,用紧凑的阵列可以从单帧估计跨距离速度。在评估的多目标场景中,检测精度随着目标数量的增加而降低。在评估的0-20 m范围内,交叉距离RMSE保持在1.04-1.14 m/s,而模拟符号错误率从0-5 m的2.8%增加到15-20 m的13.3%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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