Research Brief

   Since microwave links are greatly attenuated by rainfall, information on rainfall attenuation can be used to detect and reconstruct the rainfall field without using other weather sensors. However, its resolution is not enough for detecting the sporadic rain. This study aims to determine the location and intensity of the rainfall field from the attenuation of a mesh network using a compressed sensing-based algorithm. From the RADAR rainfall data, the corresponding attenuation of several network configurations were simulated and reconstructed under the proposed method. The number of links available in a network and their positions relative to each other affects the overall accuracy of reconstruction in an area. Furthermore, increasing the number of links crossing a single location can also improve the reconstruction in that specific location. The proposed method can also identify intense rainfall rates like that of “guerilla rains”, which are of interest because they can cause disasters. The proposed detection system can benefit areas that experience frequent heavy rains but do not have enough resources for weather sensing and forecasting.



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Lectures

　Quarter I
Principles of Signal Processing
　Quarter II
Wireless Communication Systems

　Quarter III
Signal Detection Theory