地基GNSS无源双基雷达海洋动目标探测

Ocean moving target detection using coastal GNSS passive bistatic radar

  • 摘要: 尽管基于GNSS信号的无源双基雷达(passive bistatic radar,PBR)具有广覆盖、低成本及低功耗等优势,可部署在偏远岛屿、浮标实现航道等特殊场景的目标静默探测,但由于导航信号发射功率低,使其需通过长驻留时间检测目标反射信号,降低了移动目标状态探测的精度和时间分辨率,研究如何提高海洋目标探测的准确率与分辨率成为了关注重点. 针对此问题,探究了基于Hough变换和动态规划的GNSS无源双基雷达检测前跟踪的状态探测的两步估计方法,首先在时延-慢时间二维数据矩阵上利用Hough变换和动态规划估计时延轨迹,然后在限定的时延-多普勒二维数据矩阵上进行多普勒估计. 相应的试验验证结果表明所提方法能够有效估计驻留时间内的目标反射信号的时延和多普勒,且动态规划较Hough变换能在更低的信噪比(signal-to-noise ratio,SNR)条件下估计时延和多普勒.

     

    Abstract: GNSS-based passive bistatic radar (PBR) has such advantages as wide coverage, low cost, and low power consumption so that it is potential to silently detect maritime moving target in the waterway once installed on remote islands or buoys. However, the low GNSS transmitting signal power needs a long dwell time to detect the target-reflected signal. It reduces the accuracy and temporal resolution of the estimated maritime moving target state parameters. To solve this problem, a two-step approach based on the tracking-before-detection of Hough Transform and dynamic programming is explored for state detection of passive bistatic radar detection and tracking in GNSS. This approach at first estimates the delay in the 2-dimension delay-slowtime domain, and then estimates the Doppler in the limited delay-Doppler map. The experimental results show that the proposed approach can estimate the delay and Doppler of target-reflected GNSS signal in a long dwell time, and the dynamic programming can be used in the signal with a lower signal-to-noise ratio than the Hough Transform.

     

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