Yang Jing, Pan Chao, Wang Caijun, Jiang Dapeng, Wen Biyang
Radar and Signal Processing Lab, School of Electronic Information, Wuhan University, Wuhan 430072, China.
ScientificWorldJournal. 2014 Jan 16;2014:529230. doi: 10.1155/2014/529230. eCollection 2014.
Coastal UHF radar provides a unique capability to measure the sea surface dynamic parameters and detect small moving targets, by exploiting the low energy loss of electromagnetic waves propagating along the salty and good conducting ocean surface. It could compensate the blind zone of HF surface wave radar at close range and reach further distance than microwave radars. However, its performance is susceptible to wind turbines which are usually installed on the shore. The size of a wind turbine is much larger than the wavelength of radio waves at UHF band, which results in large radar cross section. Furthermore, the rotation of blades adds time-varying Doppler frequency to the clutter and makes the suppression difficult. This paper proposes a mitigation method which is based on the specific periodicity of wind turbine clutter and performed mainly in the time-frequency domain. Field experimental data of a newly developed UHF radar are used to verify this method, and the results prove its effectiveness.
海岸超高频雷达通过利用沿含盐且导电良好的海洋表面传播的电磁波的低能量损耗，具备测量海面动态参数和探测小型移动目标的独特能力。它可以补偿高频表面波雷达近距离的盲区，并且比微波雷达探测距离更远。然而，其性能易受通常安装在岸边的风力涡轮机的影响。风力涡轮机的尺寸远大于超高频波段无线电波的波长，这导致其雷达截面积很大。此外，叶片的旋转给杂波增加了时变多普勒频率，使得杂波抑制变得困难。本文提出了一种基于风力涡轮机杂波特定周期性的缓解方法，该方法主要在时频域中执行。利用新开发的超高频雷达的现场实验数据对该方法进行验证，结果证明了其有效性。
