Single-Anchor Localization and Orientation Performance Limits Using Massive Arrays: MIMO vs. Beamforming

被引:100
作者
Guerra, Anna [1 ]
Guidi, Francesco [1 ]
Dardari, Davide [1 ]
机构
[1] Univ Bologna, Dipartimento Ingn Energia Elettr & Informaz Gugli, I-40126 Bologna, Italy
基金
欧盟地平线“2020”;
关键词
Position and orientation error bound; massive array; asymptotic Fisher information analysis; direct localization; WIRELESS SENSOR NETWORKS; PART I; ANTENNAS; RADAR; BAND; 5G; SYSTEMS; MODELS;
D O I
10.1109/TWC.2018.2840136
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
In the next generation of cellular networks, it is desirable to use single access points both for communication and localization. This could be made possible thanks to the combination of femtocells, mm-wave technology and massive antenna arrays, and would overcome the problem of having an over-sized infrastructure for positioning which is, nowadays, the bottleneck for the widespread diffusion of indoor localization systems. In this context, our paper aims at investigating the localization and orientation performance limits employing massive arrays both at the access point and mobile side. To this end, we first asymptotically demonstrate the tightness of the Cramer-Rao bound (CRB) in the massive array regime and that the effect of multipath can be made negligible even for practical values of SNR levels. Successively, we propose a comparison between two different transmitter configurations, namely multiple-input multiple-output (MIMO), where orthogonal waveforms are sent, and beamforming, which takes advantage of highly correlated waveforms and directive array patterns. We also consider random weighting as a trade-off between the diversity gain of MIMO and the high directivity guaranteed by the beamforming. CRB results show the interplay between diversity and beamforming gain as well as the benefits achievable by varying the number of antennas in terms of localization accuracy and multipath mitigation.
引用
收藏
页码:5241 / 5255
页数:15
相关论文
共 41 条
[1]  
[Anonymous], 2012, ELEMENTS INFORM THEO
[2]  
[Anonymous], ERROR BOUNDS UPLINK
[3]  
[Anonymous], 2000, Cambridge Series on Statistical and Probablistic Mathematics
[4]   MIMO Radar Ambiguity Functions [J].
Antonio, Geoffrey San ;
Fuhrmann, Daniel R. ;
Robey, Frank C. .
IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2007, 1 (01) :167-177
[5]   EMERGING TECHNOLOGIES AND RESEARCH CHALLENGES FOR 5G WIRELESS NETWORKS [J].
Chin, Woon Hau ;
Fan, Zhong ;
Haines, Russell .
IEEE WIRELESS COMMUNICATIONS, 2014, 21 (02) :106-112
[6]   Flexible Indoor Localization and Tracking Based on a Wearable Platform and Sensor Data Fusion [J].
Colombo, Alessio ;
Fontanelli, Daniele ;
Macii, David ;
Palopoli, Luigi .
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2014, 63 (04) :864-876
[7]  
Dardari D, 2012, SATELLITE AND TERRESTRIAL RADIO POSITIONING TECHNIQUES: A SIGNAL PROCESSING PERSPECTIVE, P1
[8]  
Dardari D., P 8 INT C LOC GNSS
[9]   Indoor Tracking: Theory, Methods, and Technologies [J].
Dardari, Davide ;
Closas, Pau ;
Djuric, Petar M. .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2015, 64 (04) :1263-1278
[10]   Ranging With Ultrawide Bandwidth Signals in Multipath Environments [J].
Dardari, Davide ;
Conti, Andrea ;
Ferner, Ulric ;
Giorgetti, Andrea ;
Win, Moe Z. .
PROCEEDINGS OF THE IEEE, 2009, 97 (02) :404-426