ACMI: FM-Based Indoor Localization via Autonomous Fingerprinting

被引：34

作者：

Yoon, Sungro ^{[1
]}

Lee, Kyunghan ^{[2
]}

Yun, YeoCheon ^{[2
]}

Rhee, Injong ^{[3
]}

机构：

[1] Microsoft, Bellevue, WA 98005 USA

[2] UNIST, Sch Elect & Comp Engn, Ulsan, South Korea

[3] N Carolina State Univ, Dept Comp Sci, Raleigh, NC 27695 USA

来源：

IEEE TRANSACTIONS ON MOBILE COMPUTING | 2016年 / 15卷 / 06期

基金：

美国国家科学基金会;

关键词：

Indoor localization; FM signal; signal fingerprint; pattern matching; PATH-LOSS; PROPAGATION; PREDICTION; MODELS;

D O I：

10.1109/TMC.2015.2465372

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We present ACMI, an FM-based indoor localization system that does not require proactive site profiling. ACMI constructs the fingerprint database based on pure estimation of indoor received signal strength (RSS) distribution, where only the signals transmitted from commercial FM radio stations are used. Based on extensive field measurement study, we established our own signal propagation model that harnesses FM radio characteristics and open information of FM transmission towers in combination with the floor-plan of a building. Output of the model is an RSS fingerprint database. Using the fingerprint database as a knowledge base, ACMI refines a positioning result via the two-step process; parameter calibration and path matching, during its runtime. Without site profiling, our evaluation indicates that ACMI in seven campus locations and three downtown buildings using eight distinguished FM stations finds positions with only about 6 and 10 meters of errors on average, respectively.

引用

页码：1318 / 1332

页数：15

共 35 条

[1]

[Anonymous], 2018, AGRICULTURE

[2]

[Anonymous], 2012, Mobile Systems, Applications, and Services Proceedings of the 10th International Conference, DOI DOI 10.1145/2307636.2307654

[3]

[Anonymous], 1996, NRSCR52

[4]

[Anonymous], 2012, P 18 ANN INT C MOBIL

[5]

Bahl P., 2000, Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064), P775, DOI 10.1109/INFCOM.2000.832252

[6]

Chen Y., 2012, P 10 INT C MOBILE SY, P169

[7]

Cheng XZ, 2004, IEEE INFOCOM SER, P2685

[8] A new empirical model for indoor propagation prediction [J].