Passive Localization Using TDOA Measurements from Multiple Sensors Based on Priori Knowledge of Target Altitude

Zhaotao QIN; Jun WANG; Shaoming WEI; Yanxian BI; Zixiang WEI

doi:10.11999/JEIT171231

Volume 40 Issue 9

Aug. 2018

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Article Navigation > Journal of Electronics & Information Technology > 2018 > 40(9): 2219-2226

Zhaotao QIN, Jun WANG, Shaoming WEI, Yanxian BI, Zixiang WEI. Passive Localization Using TDOA Measurements from Multiple Sensors Based on Priori Knowledge of Target Altitude[J]. Journal of Electronics & Information Technology, 2018, 40(9): 2219-2226. doi: 10.11999/JEIT171231

Citation:

Zhaotao QIN, Jun WANG, Shaoming WEI, Yanxian BI, Zixiang WEI. Passive Localization Using TDOA Measurements from Multiple Sensors Based on Priori Knowledge of Target Altitude[J]. Journal of Electronics & Information Technology, 2018, 40(9): 2219-2226. doi: 10.11999/JEIT171231

Citation:

Zhaotao QIN, Jun WANG, Shaoming WEI, Yanxian BI, Zixiang WEI. Passive Localization Using TDOA Measurements from Multiple Sensors Based on Priori Knowledge of Target Altitude[J]. Journal of Electronics & Information Technology, 2018, 40(9): 2219-2226. doi: 10.11999/JEIT171231

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Passive Localization Using TDOA Measurements from Multiple Sensors Based on Priori Knowledge of Target Altitude

doi: 10.11999/JEIT171231

1.
School of Electronics and Information Engineering, Beihang University, Beijing 100191, China
2.
Institute of Electronic Sciences, Chinese Electronics Technology Group Corporation, Beijing 100041, China

Funds: The National Natural Science Foundation of China (61501011, 61501012, 61671035)

Received Date: 2017-12-26
Rev Recd Date: 2018-05-15

Available Online: 2018-07-12

Publish Date: 2018-09-01

Abstract

Abstract

To solve the problem of radiant target localization using Time Difference Of Arrival (TDOA) measurements from multiple sensors, an algebraic closed-form method based on Weighted Least Squares (WLS) minimizations is proposed, with the priori knowledge of target altitude. In near distance scenario, neglecting the effect of earth curvature, the target altitude can be regarded as one-dimensional coordinate of the target. Based on this condition, the target position is solved by a new two-step WLS algorithm. It does not require initial solution guess, and is computationally attractive due to the non-iterative operation. Simulation results show that the target localization accuracy is greatly improved using target altitude, and the proposed method can reach Cramer-Rao Lower Bound (CRLB) accuracy under small Gaussian measurement noise.
- Passive localization,
- Time Difference Of Arrival (TDOA),
- Target altitude,
- Localization accuracy,
- Cramer-Rao Lower Bound (CRLB)

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References(23)

References

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