低分辨率FMCW雷达的航迹条件残差频率估计
Track-conditioned Residual Frequency Estimation For Low-resolution FMCW Radar
- University of Waterloo（滑铁卢大学）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
针对低分辨率FMCW雷达，提出航迹条件残差估计（TCRE），利用航迹预测移除目标相位，以四复数和压缩信号，显著降低距离和速度估计误差。
AI中文摘要：
低分辨率FMCW雷达通常在检测和跟踪之前形成完整的距离-多普勒表示。然而，在关联之后，跟踪器已经预测了目标的下一个距离和径向速度。我们提出航迹条件残差估计（TCRE），它在频谱形成之前移除预测的运动目标相位，通过四个相干复数和来概括每个64样本的啁啾，并从相位推进中估计剩余的拍频和多普勒频移误差。我们考虑了运动目标的一阶快时间和慢时间耦合，并推导了局部相位解缠区域和三接收器局部信息界。四个摘要保留了零残差快时间信息的93.77%，同时将保留表示减少16倍。在5000次匹配的60GHz杂波仿真中，相对于完全指定的同先验残差ZFFT，TCRE将距离RMSE降低了32.8%至46.3%，速度RMSE降低了58.6%至71.0%。
英文摘要：
Low-resolution FMCW radar normally forms a complete range-Doppler representation before detection and tracking. After association, however, the tracker already predicts the target's next range and radial velocity. We propose track-conditioned residual estimation (TCRE), which removes the predicted moving-target phase before spectral formation, summarizes each 64-sample chirp by four coherent complex sums, and estimates the remaining beat-frequency and Doppler-frequency errors from phase progression. We account for the first-order fast-time and slow-time coupling of a moving target and derive the local phase-unwrapping region and three-receiver local information bound. Four summaries retain 93.77 percent of the zero-residual fast-time information while reducing the retained representation by a factor of 16. In 5,000 matched 60-GHz cluttered simulations, TCRE reduces range RMSE by 32.8 to 46.3 percent and velocity RMSE by 58.6 to 71.0 percent relative to a fully specified same-prior residual ZFFT.
