We investigate several important properties of an Adaptive Energy Detector (AED), which is originally proposed according to the Generalized Likelihood Ratio Test (GLRT), under the assumption that the signal steering vector is completely unknown. We show that the AED coincides with the Rao and Wald tests. We also give the exact statistical distribution, according to which one can easily derive the Probabilities of Detection (PD) and False Alarm (PFA), and we use the AED to design a parametrically tunable signal-mismatch detector. Compared to existing tunable detectors, the novel tunable detector is more flexible in governing the rejection of the mismatched signal; moreover, for the matched signal, the tunable detector can provide a higher PD than existing detectors. Two scalars, called the tunable parameters, control this functionality.
作者简介: Liu Wei-jian was born in Shandong Province, China, in 1982. He received the B.S. degree in information engineering and M.S. degree in signal and information processing both from Air Force Radar Academy, Wuhan, China, in 2006 and 2009, respectively, and the Ph.D. degree in information and communication engineering from National University of Defense Technology, Changsha, China, in 2014. He is a lecturer at Air Force Early Warning Academy. His current research interests include multichannel signal detection, statistical and array signal processing. E-mail: liuvjian@163.com;Di Yuan-shui was born in Shandong Province, China, in 1965. He received the B.S. degree in radar engineering from Air Force Radar Academy, Wuhan, China, in 1989. He is a senior engineer at Unit 93856 PLA. His current research interests include radar systems and signal processing. E-mail: 2495451301@qq.com;Wang Li-cai was born in Shandong Province, China, in 1974. He received the B.S. degree in radar engineering from Air Force Radar Academy, Wuhan, China, in 2001. He is an engineer in radar engineering at Air Force Early Warning Academy, Wuhan, China. His current research interests include radar systems and signal processing. E-mail: 1250319472@qq.com;Jian Tao was born in Hubei Province, China, in 1982. He received the B.S. degree in computer science and technology from Wuhan Institute of Technology, Wuhan, China, in 2005 and the M.S. degree in signal and information processing from Air Force Radar Academy, Wuhan, China, in 2009. He is a lecturer at Air Force Early Warning Academy. His current research interests include data processing and adaptive filtering. E-mail: jthffzwl@163.com;Xie Dang was born in Anhui Province, China, in 1979. He received the B.S. degree in information and computing science from Hangzhou Dianzi University, China, in 2003 and the M.S. degree in signal and information processing from Air Force Radar Academy, Wuhan, China, in 2009. He is a lecturer at Air Force Early Warning Academy. His current research interests include spatial spectrum estimation and array signal processing. E-mail: 9smile9@163.com;Wang Yong-liang was born in Zhejiang Province, China, in 1965. He received the B.S. degree in electrical engineering from Air Force Radar Academy, Wuhan, China, in 1987 and the M.S. and Ph.D. degrees in electrical engineering from Xidian University, Xi’an, China, in 1990 and 1994, respectively. From June 1994 to December 1996, he was a Post-doctoral Fellow with the Department of Electronic Engineering, Tsinghua University, Beijing, China. Since January 1997, he has been a Full Professor and the Director of the Key Research Laboratory, Air Force Early Warning Academy. His recent research interests include radar systems, space-time adaptive processing, and array signal processing. He has authored or coauthored three books and more than 200 papers. Dr. Wang is the recipient of the China Postdoctoral Award of 2001 and the Outstanding Young Teachers Award of the Ministry of Education, China of 2001. E-mail: ylwangkjld@163.com
引用本文:
刘维建, 王利才, 狄源水, 简 涛, 谢 谠, 王永良. 自适应能量检测器及在失配信号检测中的应用(英文)[J]. 雷达学报, 2015, 4(2): 149-159.
Liu Wei-jian, Wang Li-cai, Di Yuan-shui, Jian Tao, Xie Dang, Wang Yong-liang. Adaptive Energy Detector and Its Application for Mismatched Signal Detection(in English). JOURNAL OF RADARS, 2015, 4(2): 149-159.
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2015, Vol. 4 
