Biblio

Filters: Author is Gao, Bo  [Clear All Filters]
2022-05-06
Fu, Shijian, Tong, Ling, Gong, Xun, Gao, Xinyi, Wang, Peicheng, Gao, Bo, Liu, Yukai, Zhang, Kun, Li, Hao, Zhou, Weilai et al..  2021.  Design of Intermediate Frequency Module of Microwave Radiometer Based on Polyphase Filter Bank. 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS. :7984–7987.
In this work, an IF(intermediate frequency) module of a hyperspectral microwave radiometer based on a polyphase filter bank (PFB) and Discrete Fourier Transformation (DFT)is introduced. The IF module is designed with an 800MSPS sampling-rate ADC and a Xilinx Virtex-7 FPGA. The module can achieve 512 channels and a bandwidth of 400M and process all the sampled data in real-time. The test results of this module are given and analyzed, such as linearity, accuracy, etc. It can be used in various applications of microwave remote sensing. The system has strong expandability.
2017-05-18
Dou, Yanzhi, Zeng, Kexiong(Curtis), Li, He, Yang, Yaling, Gao, Bo, Guan, Chaowen, Ren, Kui, Li, Shaoqian.  2016.  P2-SAS: Preserving Users' Privacy in Centralized Dynamic Spectrum Access Systems. Proceedings of the 17th ACM International Symposium on Mobile Ad Hoc Networking and Computing. :321–330.

Centralized spectrum management is one of the key dynamic spectrum access (DSA) mechanisms proposed to govern the spectrum sharing between government incumbent users (IUs) and commercial secondary users (SUs). In the current centralized DSA designs, the operation data of both government IUs and commercial SUs needs to be shared with a central server. However, the operation data of government IUs is often classified information and the SU operation data may also be commercial secret. The current system design dissatisfies the privacy requirement of both IUs and SUs since the central server is not necessarily trust-worthy for holding such sensitive operation data. To address the privacy issue, this paper presents a privacy-preserving centralized DSA system (P2-SAS), which realizes the complex spectrum allocation process of DSA through efficient secure multi-party computation. In P2-SAS, none of the IU or SU operation data would be exposed to any snooping party, including the central server itself. We formally prove the correctness and privacy-preserving property of P2-SAS and evaluate its scalability and practicality using experiments based on real-world data. Experiment results show that P2-SAS can respond an SU's spectrum request in 6.96 seconds with communication overhead of less than 4 MB.