![Sample our Engineering & Technology journals, sign in here to start your access, latest two full volumes FREE to you for 14 days]({"type":"image" , "src" : "/sda/5933/TOC-Subject-Sample-2021-Engineering-Tech.jpg"})
ABSTRACT
Passive source localization is an important issue as there are numerous applications including search and rescue and public safety. Hybrid passive source localization combining time difference of arrival (TDOA) and received signal strength difference (RSSD) is investigated in this paper. First, a TDOA and RSSD based linear weighted least-squares (WLS) estimator for passive source localization is presented. Second, the maximum likelihood (ML) estimator and Cramer-Rao lower bound (CRLB) for the hybrid localization scheme are derived as performance benchmarks. Numerical results are presented which demonstrate that the proposed hybrid localization method provides significantly better accuracy than using only the TDOA.
Additional information
Funding
Notes on contributors
Zengfeng Wang
Zengfeng Wang received the BE degree in electronic engineering from Qingdao University, China, in 2003 and the MS degree in signal and information processing from Shandong University, China, in 2006. She is currently a PhD candidate at Ocean University of China, China. Her research interests include wireless localization, ultra-wideband radio systems and 60 GHz wireless communications.
Hao Zhang
Hao Zhang received the BE degree in Telecommunications Engineering and Industrial Management from Shanghai Jiaotong University, China, in 1994. He received the PhD degree in Electrical Engineering from the University of Victoria, Canada, in 2004. He is currently a professor in the Department of Electronic Engineering at Ocean University of China. His research interests include ultra-wideband radio systems, MIMO wireless systems and cooperative communication networks. E-mail: [email protected]
Tingting Lu
Tingting Lu received the BS degree in communication engineering in 2006 from HuNan University. She received the MS degree in communication and information systems in 2009, and the PhD degree in computer application technology in 2013, from Ocean University of China. She is a currently a lecturer at Ocean University of China. Her research interests include mmWave communication systems, ultra-wideband radio systems, OFDM and GNSS. E-mail: [email protected]
Xing Liu
Xing Liu received the BS degree from the College of Information Science and Engineering, Ocean University of China, China, in 2011. She is currently a PhD candidate in the College of Information Science and Engineering, Ocean University of China, majoring in intelligent information and communication systems. Her research interests include ultra-wideband radio systems, 60 GHz communications, satellite communications and navigation, and indoor localization. E-mail: [email protected]
Zhaoqiang Wei
Zhaoqiang Wei received the BE degree in communication engineering from Ocean University of China, China, in 2011. He received the M.E. degree in computer technology from Ocean University of China, China, in 2013. He is currently a PhD candidate at Ocean University of China. His research interests include ultra-wideband radio systems, 60 GHz wireless systems, ED receivers. E-mail: [email protected]
T. Aaron Gulliver
T. Aaron Gulliver received the PhD degree in electrical engineering from the University of Victoria, Victoria, BC, Canada, in 1989. He joined the University of Victoria in 1999 and is a Professor in the Department of Electrical and Computer Engineering. In 2002 he became a Fellow of the Engineering Institute of Canada, and in 2012 a Fellow of the Canadian Academy of Engineering. His research interests include information theory and communication theory, OFDM, security, radar and ultra-wideband communications. Email: [email protected]