Hostname: page-component-586b7cd67f-vdxz6 Total loading time: 0 Render date: 2024-11-22T07:48:11.014Z Has data issue: false hasContentIssue false

Potential accuracy of object localization with multilateration systems

Published online by Cambridge University Press:  18 May 2009

Victor Chernyak*
Affiliation:
Moscow Aviation Institute (State Technical University), 31-1-12, Volgina ul., Moscow 117437, Russia. Phone: +(00)7 495 336 2268.
*
Corresponding author: V. Chernyak Email: [email protected]

Abstract

Multilateration (MLAT) systems and wide area MLAT (WAM) systems are particular cases of multisite (multistatic) radar systems (MSRSs): passive MSRSs (PMSRSs) with known expected signal waveforms. One of the most stringent requirements on an MLAT system is a very high accuracy of target (emitter) localization. In view of this, the potential accuracy of emitter localization (PAEL) based on Cramer–Rao inequality is important. Its dependence on system geometry and time of arrival (TOA) measurement accuracy allows choosing reasonable system geometry and requirements on TOA measurements. PAEL for MLAT and WAM systems with different geometry is considered, including systems proposed for the Marco Polo airport in Venice, Italy. The possibility of velocity determination using PAEL for landing and taking off aircrafts is also discussed. The concept of PAEL permits one to analyze joint measurements of different signal parameters and target coordinates. The effect of additional elevation angle measurements on PAEL in the WAM system for the Marco Polo airport is shown.

Type
Original Article
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2009

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

[1]Chernyak, V.S.: Fundamentals of Multisite Radar Systems. Multistatic Radars and Multiradar Systems, Gordon and Breach Science Publishers, 1998.Google Scholar
[2]Galati, G.; Gasbarra, M.; Leonardi, M.: Multilateration algorithms for time of arrival estimation and target location in airports, in Proc. EuRAD 2004, Amsterdam, The Netherlands, 14–15 October 2004, 293296.Google Scholar
[3]Galati, G. et al. : Wide area surveillance using SSR mode S multilateration: advantages and limitations, in Proc. 2nd EuRAD 2005, Paris, France, 6–7 October 2005, 225229.Google Scholar
[4]Galati, G. et al. : New time of arrival estimation method for multilateration target location, in Proc. JISSA 2005, Paris, France, 20–21 June 2005.Google Scholar
[5]Galati, G. et al. : New approaches to multilateration processing: analysis and field evaluation, in Proc. EuRAD 2006, Manchester, UK, 13–15 September, 2006.CrossRefGoogle Scholar
[6]Mellen, G. II; Pachter, M.; Raquet, J.: Closed-form solution for determining emitter location using time difference of arrival measurements. IEEE Trans. Aerosp. Electron. Syst., 39 (2003) 10561058. doi:10.1109/TAES.2003.1278756.CrossRefGoogle Scholar
[7]Bakhoum, E.G.: Closed-form solution of hyperbolic geolocation equations. IEEE Trans. Aerosp. Electron. Syst., 42 (2006) 13951404. doi: 10.1109/TAES2006.314580.CrossRefGoogle Scholar
[8]EUROCAE: Minimum Operational Performance Specifications for Mode S Multilateration System for use in A-SMGCS, ED-117, April 2003.Google Scholar
[9]Galati, G.; Leonardi, M.; Tosti, M.: Multilateration (local and wide area) as a distributed sensor system: lower bound of accuracy, in Proc. EuRAD 2008, Amsterdam, 30–31 October 2008, 196199.Google Scholar
[10]Bezoušek, P.; Kubeček, V.; Štěrba, P.: A passive radar surveillance system VERA for ATC, in Proc. IRS 98, Munich, Germany, 15–17 September 1998, 3948.Google Scholar