Fei Gao
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Fei Gao has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Lili Guo
College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China
2 shared publications - Hongbin Li
Stevens Institute of Technology
1 shared publication - Jiangzhi Fu
College of Information and Communication Engineering, Harbin Engineering University, Harbin, China
1 shared publication - Jun Fang
National Key Laboratory of Wireless Communications, University of Electronic Science and Technology of China, Chengdu, China
1 shared publication - Pei Guo
Institute of Manned Space System Engineering, China Academy of Space Technology
1 shared publication - Qingwei Li
Harbin Engineering University, Harbin, China
1 shared publication
Latest Publications
- 10 February 2016
- Published by Springer Nature in Wireless Personal Communications
- Vol. 88 (4) , 819-837
A New Method of Generating Spectral Nulls at the Transmitter in Cognitive Radio
- 10 February 2016
- Published by Springer Nature in Wireless Personal Communications
- Vol. 88 (4) , 819-837
A New Method of Generating Spectral Nulls at the Transmitter in Cognitive Radio
- Open Access
- 11 August 2015
- Published by MDPI AG in Algorithms
- Vol. 8 (3) , 621-631
One-Bit Quantization and Distributed Detection with an Unknown Scale Parameter
We examine a distributed detection problem in a wireless sensor network, where sensor nodes collaborate to detect a Gaussian signal with an unknown change of power, i.e., a scale parameter. Due to power/bandwidth constraints, we consider the case where each sensor quantizes its observation into a binary digit. The binary data are then transmitted through error-prone wireless links to a fusion center, where a generalized likelihood ratio test (GLRT) detector is employed to perform a global decision. We study the design of a binary quantizer based on an asymptotic analysis of the GLRT. Interestingly, the quantization threshold of the quantizer is independent of the unknown scale parameter. Numerical results are included to illustrate the performance of the proposed quantizer and GLRT in binary symmetric channels (BSCs).
- 11 August 2015
- Published by MDPI AG in Algorithms
- Vol. 8 (3) , 621-631
Open AccessOne-Bit Quantization and Distributed Detection with an Unknown Scale Parameter
We examine a distributed detection problem in a wireless sensor network, where sensor nodes collaborate to detect a Gaussian signal with an unknown change of power, i.e., a scale parameter. Due to power/bandwidth constraints, we consider the case where each sensor quantizes its observation into a binary digit. The binary data are then transmitted through error-prone wireless links to a fusion center, where a generalized likelihood ratio test (GLRT) detector is employed to perform a global decision. We study the design of a binary quantizer based on an asymptotic analysis of the GLRT. Interestingly, the quantization threshold of the quantizer is independent of the unknown scale parameter. Numerical results are included to illustrate the performance of the proposed quantizer and GLRT in binary symmetric channels (BSCs).