Accuracy studies for TDOA-AOA localization of emitters with a single sensor

Giacometti, R.; Baussard, Alexandre; Cornu, Cedric; Khenchaf, Ali; Jahan, Daniel; Quellec, Jean-Michel

doi:10.1109/radar.2016.7485185

Cited by 12 publications

(4 citation statements)

References 8 publications

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“…Therefore, the calculation of one iteration is sum of all unknowns in the list, that is 162M 5 3 ). If the iteration times N iter are defined, the total calculation is (162M 5 + 171M 4 2) 3 ))N iter , which is much larger than the close-form method like WLS and TLS methods and slightly higher than the Taylor series method.…”

Section: Construction Of the Ctls Localization Modelmentioning

confidence: 99%

“…AOA and TDOA measurements employing a single sensor have been jointly implemented thereafter in localizing radar emitters without a priori knowledge of the reflecting environment. 5 By exploiting the hybrid TDOA and AOA measurements, a closed-form solution has been presented in the study by Yin et al 6 for the three-dimensional (3D) source localization problem using only two observation stations.…”

Section: Introductionmentioning

confidence: 99%

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Constrained total least squares localization using angle of arrival and time difference of arrival measurements in the presence of synchronization clock bias and sensor position errors

Liu

Wang

Yin

et al. 2019

International Journal of Distributed Sensor Networks

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Based on measurements of angle of arrival and time difference of arrival, a method is proposed to improve the accuracy of localization with imperfect sensors. A derivation of the Cramér–Rao lower bound and the root mean square error is presented aimed at demonstrating the significance of taking synchronization errors into consideration. Subsequently, a set of pseudo-linear equations are constructed, based on which the constrained total least squares optimization model has been formulated for target localization and the Newton iteration is applied to obtain the source position and clock bias simultaneously. The theoretical performance of the constrained total least squares localization algorithm subject to sensor position errors and synchronization clock bias is derived, and a framework for the performance analysis is developed. In addition, the first-order error analysis illustrates that the proposed method can achieve the Cramér–Rao lower bound under moderate Gaussian noises by a mathematic derivation. Finally, simulation results are presented that verify the validity of the theoretical derivation and superiority of the new algorithm.

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Section: Construction Of the Ctls Localization Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Constrained total least squares localization using angle of arrival and time difference of arrival measurements in the presence of synchronization clock bias and sensor position errors

Liu

Wang

Yin

et al. 2019

International Journal of Distributed Sensor Networks

View full text Add to dashboard Cite

show abstract

“…0 2 0 2 0 2 3 2 3 2 3 2 2 0 2 0 2 0 2 2 2 2 2 2 1 2 0 2 0 2 0 2 1 2 1 2 According to the measurement values, the TDOA-AOA combined algorithm set up the following equation system: θ is the angle of pitch of the signal from base station i to the target source. Thus, the coordinates of the target source ) , ( y x could be calculated from Equation (13). The mean of the target source in the z coordinate system could be calculated by the following equation:…”

Section: Contrast Experimentsmentioning

confidence: 99%

“…[10] increased the positioning accuracy by reflecting TDOA and AOA results using the specified emitter, which, however, increased the difficulty of engineering practice. Shikur [11,12] and Giacometti and Baussard [13] combined TDOA algorithm and AOA algorithm and effectively increased the positioning accuracy. However, this TDOA-AOA combined algorithm requires calculating the Cramér-Rao lower bound (CRLB) and shows high complexity.…”

Section: Introductionmentioning

confidence: 99%

TDOA Localization Algorithm based on Weight Fusion of Target Position Coordinates

QingYi¹,

Zhang²,

Sun³

2017

JESTR

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The use time of difference of arrival (TDOA) or angle of arrival (AOA) in locating the target requires at least four base stations. The measurement accuracy of different base stations varies due to different relative positions of the base station and the target. Therefore, the measurement results of different base stations cannot be discussed simultaneously. A new TDOA localization algorithm based on weighting fusion of position coordinates of target source was proposed to address this problem. First, maximum likelihood estimation was used to acquire the position coordinates of multiple groups of target sources on the 2D plane with time of arrival (TOA) and AOA of signals from base stations to the target source. Second, the coordinates were applied with weighted fusion according to the relative angle between the signals emitted from the base stations and target source to obtain relatively accurate 3D position coordinates. Finally, the proposed algorithm was compared with TDOA localization algorithm and TDOA-AOA combined localization algorithm. Results reveal that the proposed algorithm increases accuracy by 68.33% and 48.27% compared with TDOA localization algorithm and TDOA-AOA combined localization algorithm, respectively. Weighting data fusion can increase the calculation accuracy more effectively than the averaging method. This study increases the accuracy of 3D target localization in complicated environment. The proposed method shows prospect to optimize the wireless positioning technology in military and civilian fields.

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Node Localization in Wireless Sensor Networks Using Multi-output Random Forest Regression

Madhumathi¹,

Suresh

2019

Advances in Intelligent Systems and Computing

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Accuracy studies for TDOA-AOA localization of emitters with a single sensor

Cited by 12 publications

References 8 publications

Constrained total least squares localization using angle of arrival and time difference of arrival measurements in the presence of synchronization clock bias and sensor position errors

Constrained total least squares localization using angle of arrival and time difference of arrival measurements in the presence of synchronization clock bias and sensor position errors

TDOA Localization Algorithm based on Weight Fusion of Target Position Coordinates

Node Localization in Wireless Sensor Networks Using Multi-output Random Forest Regression

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