Position Estimation of Automatic-Guided Vehicle Based on MIMO Antenna Array

被引:12
作者
Chen, Zhimin [1 ]
He, Xinyi [2 ]
Cao, Zhenxin [3 ]
Jin, Yi [4 ]
Li, Jingchao [1 ]
机构
[1] Shanghai Dianji Univ, Sch Elect & Informat Engn, Shanghai 201306, Peoples R China
[2] Sci & Technol Electromagnet Scattering Lab, Shanghai 200438, Peoples R China
[3] Southeast Univ, State Key Lab Millimeter Waves, Sch Informat Sci & Engn, Nanjing 210096, Jiangsu, Peoples R China
[4] China Acad Space Technol, Xian Branch, Xian 710000, Shaanxi, Peoples R China
基金
中国国家自然科学基金;
关键词
antenna array; automatic guided vehicle; DoA; DoD estimation; MIMO radar; ORTHOGONAL MATCHING PURSUIT; EFFICIENT MODULATION; RADAR; COMMUNICATION; RECOVERY; SYSTEMS; DESIGN; SIGNAL;
D O I
10.3390/electronics7090193
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The existing positioning methods for the automatic guided vehicle (AGV) in the port can not achieve high location precision, Therefore, a novel multiple input multiple output (MIMO) antenna radar positioning scheme is proposed in this paper. The positioning problem for AGV is considered, and the joint estimation problem for direction of departure (DoD) and direction of arrival (DoA) is addressed in the multiple-input multiple-output (MIMO) radar system. With the radar detect the transponder and estimate the DoA/DoD, the relative location between the transponder and the AGV can be obtained. The corresponding Cramer-Rao lower bounds (CRLBs) for the target parameters are also derived theoretically. Finally, we compare the positioning accuracy of the traditional global position system (GPS) with the proposed MIMO radar system. Simulation results show that the proposed method can achieve better performance than the traditional GPS.
引用
收藏
页数:13
相关论文
共 34 条
[1]   Compressive sensing [J].
Baraniuk, Richard G. .
IEEE SIGNAL PROCESSING MAGAZINE, 2007, 24 (04) :118-+
[2]  
Beckmann P., 1962, J. Res. Nat. Inst. Standards Technol., V3, P231, DOI DOI 10.6028/JRES.066D.027
[3]  
Candès EJ, 2008, IEEE SIGNAL PROC MAG, V25, P21, DOI 10.1109/MSP.2007.914731
[4]   Moving Target Detection Using Colocated MIMO Radar on Multiple Distributed Moving Platforms [J].
Chen, Peng ;
Zheng, Le ;
Wang, Xiaodong ;
Li, Hongbin ;
Wu, Lenan .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2017, 65 (17) :4670-4683
[5]   Estimation of Extended Targets Based on Compressed Sensing in Cognitive Radar System [J].
Chen, Peng ;
Qi, Chenhao ;
Wu, Lenan ;
Wang, Xianbin .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2017, 66 (02) :941-951
[6]   Antenna placement optimisation for compressed sensing-based distributed MIMO radar [J].
Chen, Peng ;
Qi, Chenhao ;
Wu, Lenan .
IET RADAR SONAR AND NAVIGATION, 2017, 11 (02) :285-293
[7]   Waveform Optimization for Target Scattering Coefficients Estimation Under Detection and Peak-to-Average Power Ratio Constraints in Cognitive Radar [J].
Chen, Peng ;
Wu, Lenan ;
Qi, Chenhao .
CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 2016, 35 (01) :163-184
[8]   Coding matrix optimization in cognitive radar system with EBPSK-based MCPC signal [J].
Chen, Peng ;
Wu, Lenan .
JOURNAL OF ELECTROMAGNETIC WAVES AND APPLICATIONS, 2015, 29 (11) :1497-1507
[9]   Non-orthogonal multi-carrier MIMO communication system using M-ary efficient modulation [J].
Chen, Zhimin ;
Chen, Peng ;
Li, Jingchao ;
Miao, Pu .
DIGITAL SIGNAL PROCESSING, 2018, 76 :14-21
[10]  
Chen ZM, 2017, IEEE C ANTENNA MEAS, P297, DOI 10.1109/CAMA.2017.8273431