Channel estimation, equalisation, and evaluation for high-mobility airborne hyperspectral data transmission
Channel estimation, equalisation, and evaluation for high-mobility airborne hyperspectral data transmission
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DOI：
10.1049/iet-com.2016.0599
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发表时间：
2016-12
期刊：
影响因子：
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通讯作者：
V. Vahidi;A. Yazdanpanah;E. Saberinia;E. Regentova
中科院分区：
文献类型：
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作者：
V. Vahidi;A. Yazdanpanah;E. Saberinia;E. Regentova
在过去的几年中，无人机（UAV）已成为高光谱成像仪的主要机载平台，用于精确农业，国防和环境研究。"推扫式"高光谱传感器需要移动车辆，通过无人机的高机动性通道传输和分析高光谱数据具有挑战性。虽然高带宽的高光谱成像证明使用正交频分复用（OFDM）进行数据传输，但由于多普勒频移，无人机的高速对传输的OFDM信号施加了载波间干扰（ICI）。本研究提出了一种技术，用于信道估计和均衡，以补偿ICI。该技术在频域中使用完整的信道矩阵估计，这与在恢复数据时仅使用对角元素的传统方法形成对比。为了评估使用这种技术收到的数据，设计了一个分类框架，其中考虑到光谱和空间信息。为了验证所提出的模型的鲁棒性，使用帕维亚中心高光谱数据集对系统进行了分析，并针对50和500 m/s的速度进行了评估。通过使用该方法，在数据传输和分析方面都取得了改善。
In the past few years, unmanned aerial vehicles (UAVs) have become a primary airborne platform for hyperspectral imager for studies on precision agriculture, defence, and the environment. The ‘push-broom’ type of hyperspectral sensors require moving vehicle, and transmission and analysis of hyperspectral data by means of a UAV's high-mobility channel is challenging. While high bandwidth of hyperspectral imaging justify using orthogonal frequency division multiplexing (OFDM) for data transmission, the high speed of UAVs imposes intercarrier interference (ICI) on the transmitted OFDM signal because of the Doppler shift. This study proposes a technique for channel estimation and equalisation in order to compensate the ICI. This technique uses a complete channel matrix estimation in the frequency domain in contrast to conventional methods that only use diagonal elements when recovering the data. In order to evaluate the received data using this technique, a classification framework was designed that took into consideration both spectral and spatial information. In order to verify the robustness of the proposed model, the system was analysed using a Pavia Center hyperspectral dataset, and evaluated against speeds of 50 and 500 m/s. By using this method, improvement in both data transmission and the analysis was achieved.