ScholarLens Back to search
2011•Systems engineering and electronicsRequires access

Passive localization method and its precision analysis based on TDOA and FDOA of fixed sensors

Teng Li

Open publisher page 1 citations

Abstract

To solve the problem of time difference of arrival(TDOA) and frequency difference of arrival(FDOA) localization by fixed sensors,a new localization solution based on weighted least square and a tracking method based on extended Kalman filter are proposed.The geometric distribution of precision(GDOP) of localization Cramer-Rao lower bound(CRLB) is analyzed under the circumstances which some measurements errors exist in TDOA and FDOA parameters.The tracking performance of multiple-times measurements is simulated and is compared with performance using TDOA only.Simulation results show that adding FDOA information is useful to improve tracking precision of moving emitters.

About this research paper

What this paper is about

To solve the problem of time difference of arrival(TDOA) and frequency difference of arrival(FDOA) localization by fixed sensors,a new localization solution based on weighted least square and a tracking method based on extended Kalman filter are proposed.The geometric distribution of precision(GDOP) of localization Cramer-Rao lower bound(CRLB) is analyzed under the circumstances which some measurements errors exist in TDOA and FDOA parameters.The tracking performance of multiple-times measurements is simulated and is compared with performance using TDOA only.Simulation results show that adding FDOA information is useful to improve tracking precision of moving emitters.

Why it matters

OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

To solve the problem of time difference of arrival(TDOA) and frequency difference of arrival(FDOA) localization by fixed sensors,a new localization solution based on weighted least square and a tracking method based on extended Kalman filter are proposed.The geometric distribution of precision(GDOP) of localization Cramer-Rao lower bound(CRLB) is analyzed under the circumstances which some measurements errors exist in TDOA and FDOA parameters.The tracking performance of multiple-times measurements is simulated and is compared with performance using TDOA only.Simulation results show that adding FDOA information is useful to improve tracking precision of moving emitters.

Key concepts: FDOA, Multilateration, Cramér–Rao bound, Upper and lower bounds, Tracking (education), Computer science, Algorithm, Kalman filter

Related papers

Related paper 1Related paper 2Related paper 3
Back to paper searchBrowse research topicsOriginal source
Passive localization method and its precision analysis based on TDOA and FDOA of fixed sensors — Research Paper | ScholarLens