Research on MS Setover Location Method with LOS on Multilateration

Feng Xun Gong; Yan Qiu Ma; Li Hua Dai

doi:10.4028/www.scientific.net/AMR.403-408.2329

Paper Titles

Design and Implementation of Automatic Generating System for Individualized Teaching Based on Web
p.2313

Study of the NC Machine’s Connection and Assembly Management System Based on RFID Technology
p.2317

High Throughput VLSI Architecture of MQ-Coder for JPEG2000
p.2321

Research of Three-Level Detection Algorithm against Low-Rate Denial of Service Attacks
p.2325

Research on MS Setover Location Method with LOS on Multilateration
p.2329

A Neural Network Forecasting Model of Beijing Motor Vehicles Sold Based on Set Pare Analysis
p.2333

Simulation Research on Synthesis Algorithm of Directional Illumination Data
p.2337

The Improved Particle Filtering Algorithms for Tracking the Signals
p.2341

Reclamation Processes from 1930-2006 in Western Jilin Province in China and Consequent Hydrological Effects
p.2345

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 403-408Research on MS Setover Location Method with LOS on...

Research on MS Setover Location Method with LOS on Multilateration

Abstract:

Location accuracy for low-altitude targets is not well in Short-Baseline system. A program of main station off-center of eight-station arrangement is proposed. Firstly analyses factors influencing the location accuracy for line-of-sight environments. Then researches the relationship between main station position and location performance, put forwards a location method of main station off-center of eight-station by increasing the base-station number and layout of the main station off-center which realizes multiple coverage of monitoring area using the redundant measurement information by main station off-center and more base stations provided. Finally gets the number of base station and optimal disposition way for low-altitude targets in the airport through simulating geometric dilution of precision (GDOP) distribution. Simulation figures and dates show that the main station off-center of eight-station arrangement can be achieved over 95% coverage of the airport for low-altitude targets location.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 403-408)

Pages:

2329-2332

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.403-408.2329

Citation:

Cite this paper

Online since:

November 2011

Authors:

Feng Xun Gong, Yan Qiu Ma, Li Hua Dai

Keywords:

Disposition Method, GDOP, Multilateration, TDOA

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] N. Levanon, Lowest GDOP in 2-D scenarios, IEEE Proc Radar, Sonar Navigation, vol. 147(3), pp.149-155, (2000).

DOI: 10.1049/ip-rsn:20000322

Google Scholar

[2] Ian Sharp, Kegen Yu, et al. GDOP Analysis for Positioning System Design, IEEE Transactions On Vehicular Technology, vol. 58(7), pp.3371-3382, (2009).

DOI: 10.1109/tvt.2009.2017270

Google Scholar

[3] K. Yu and YJ Guo, Improved positioning algorithms for nonline-of-sight environments, IEEE Transactions On Vehicular Technology, vol. 57(4), pp.2342-2353, (2008).

DOI: 10.1109/tvt.2007.912598

Google Scholar

[4] L. Cong and W. Zhuang, Nonline-of-sight error mitigation in mobile location, IEEE Transactions Wireless Commune, vol. 4(2), p.560–573, (2005).

DOI: 10.1109/twc.2004.843040

Google Scholar

[5] Y. Yu, H. F. Silverman, An improved TDOA-based location estimation algorithm for large aperture microphone arrays, ICASSP, vol. 4, pp.77-80, (2004).

DOI: 10.1109/icassp.2004.1326767

Google Scholar

[6] LeBlanc, Saffiotti. Multi-robot Object Localization: A Fuzzy Fusion Approach. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, Vol. 39(5), pp.1259-1276, (2009).

DOI: 10.1109/tsmcb.2009.2015279

Google Scholar

[7] Mehdi Hedjazi, Mo ghari, Purang Abolmaesumi. Distribution of Fiducial Registration Error in Rigid-Body Point-Based Registration. IEEE Transactions on medical imaging, vol 28(11), (2009).

DOI: 10.1109/tmi.2009.2024208

Google Scholar