基于PCR雷达的大型工程车防撞高压线测距算法研究
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1.中北大学;2.国网忻州供电公司

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TN957.51

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Research on high voltage line distance measurement algorithm for large construction vehicle collision avoidance based on PCR radar
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    摘要:

    针对高压线路作业安全距离测量中雷达散射截面较小和波信噪比低,常规雷达方法难以实现可靠检测的问题,本文提出了一种基于脉冲相干雷达(Pulse Coherent Radar, PCR)的高压线安全距离预警算法。该算法首先通过多脉冲积累(Multi-Pulse Integration, MPI)增强信噪比,然后通过融合固定阈值的恒虚警率算法(Constant False Alarm Rate, CFAR)进行精确目标识别,最后搭建了探测系统,构造了测试环境,并实现了算法的嵌入式开发。仿真及实测证明,在信噪比低至-30dB的条件下仍能识别小截面积目标。在检测距离5米处,该方法的检测误差在9厘米内,响应时间低于100毫秒,满足实时性和精度的需求。

    Abstract:

    In response to the challenges in measuring safety distances for high-voltage line operations due to small radar cross-sections and low signal-to-noise ratios, where conventional radar methods struggle to achieve reliable detection, this paper proposes a high-voltage line safety distance warning algorithm based on Pulse Coherent Radar (PCR). The algorithm first enhances the signal-to-noise ratio through Multi-Pulse Integration (MPI), then employs a Constant False Alarm Rate (CFAR) algorithm with a fixed threshold for precise target identification. A detection system was constructed, a testing environment was set up, and embedded development of the algorithm was implemented. Simulations and experiments demonstrate that, under low SNR conditions down to -30 dB, small cross-section targets can still be identified. At a detection distance of 5 meters, this method achieves a detection error within 9 cm and a response time below 100 ms, meeting real-time operational and accuracy requirements.

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  • 收稿日期:2024-10-08
  • 最后修改日期:2024-11-15
  • 录用日期:2024-11-18
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