Optimization for distributed Radar Sensor Network (RSN) and MIMO-RSN in flat fading channels

被引:0
作者
Liu, Yang [1 ]
Liang, Jing [1 ]
机构
[1] Univ Elect Sci & Technol China, Dept Elect Engn, Chengdu, Sichuan, Peoples R China
基金
国家教育部博士点专项基金资助; 中国国家自然科学基金;
关键词
Flat fading; Distributed-RSN; MIMO-RSN; Fusion scheme; Power control; Optimization; SYSTEMS;
D O I
10.1016/j.phycom.2014.01.001
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Investigation in distributed Radar Sensor Network (RSN) and MIMO-RSN are more like two parallel paths other than one research field in current literature. In this paper, we address the comparison between optimal fusion scheme of distributed-RSN and optimal power control of MIMO-RSN for target detection. We first establish the wireless statistic channel model for these two types of RSNs under flat fading channel condition. Using Jake's model, Rayleigh flat fading channel is obtained. Then we provide optimization for the fusion scheme and the power control. Both amplitude and phase of the received signals are applied to the optimal/suboptimal fusion schemes for the distributed-RSN. Water-filling, the optimal power control scheme is utilized in the MIMO-RSN, where two suboptimal schemes (equal power and channel inversion) are also investigated to provide a comparison. The detection performance is analyzed and compared in terms of probability of detection (P-d) and probability of false alarm (P-fa). The simulation results show that the water-filling in MIMO-RSN achieves the best performance, whereas the optimal fusion scheme for distributed-RSN obtains worse performance than the equal power control in MIMO-RSN, and the channel inversion in MIMO-RSN gets the worst performance, which has almost the same performance as the suboptimal fusion scheme in distributed-RSN. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:253 / 259
页数:7
相关论文
共 17 条
[1]  
[Anonymous], 2006, P IEEE INFOCOM 2006, DOI DOI 10.1109/INFOCOM.2006.232
[2]   MIMO radar: An idea whose time has come [J].
Fishler, E ;
Haimovich, A ;
Blum, R ;
Chizhik, D ;
Cimini, L ;
Valenzuela, R .
PROCEEDINGS OF THE IEEE 2004 RADAR CONFERENCE, 2004, :71-78
[3]   Energy-Efficient Power Allocation for Point-to-Point MIMO Systems over the Rayleigh Fading Channel [J].
Heliot, Fabien ;
Imran, Muhammad Ali ;
Tafazolli, Rahim .
IEEE WIRELESS COMMUNICATIONS LETTERS, 2012, 1 (04) :304-307
[4]   An Adaptive Method for Multi-User MIMO Power Controlled Systems [J].
Kashiha, Mahdi ;
Ardebilipour, Mehrdad ;
Soleimani-Nasab, Ehsan .
2010 IEEE INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND INFORMATION SECURITY (WCNIS), VOL 1, 2010, :68-72
[5]  
Le H., 2009, IEEE MIL COMM C BOST
[6]  
Li J., 2009, MIMO Radar Signal Processing
[7]   Near-Optimal Power Allocation for MIMO Channels with Mean or Covariance Feedback [J].
Li, Xiao ;
Jin, Shi ;
Gao, Xiqi ;
Wong, Kai-Kit .
IEEE TRANSACTIONS ON COMMUNICATIONS, 2010, 58 (01) :289-300
[8]   Design and Analysis of Distributed Radar Sensor Networks [J].
Liang, Jing ;
Liang, Qilian .
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2011, 22 (11) :1926-1933
[9]   Diversity in Radar Sensor Networks: Theoretical Analysis and Application to Target Detection [J].
Ly, Hung ;
Liang, Qilian .
INTERNATIONAL JOURNAL OF WIRELESS INFORMATION NETWORKS, 2009, 16 (04) :209-216
[10]  
Qilian Liang, 2006, 2006 3rd Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks (IEEE Cat. No. 06EX1523), P684