Single-observer Passive DOA-TDOA Location Based on Regularized Constrained Total Least Squares

ZHAO Yongjun; ZHAO Yongsheng; ZHAO Chuang

doi:10.11999/JEIT151379

Volume 38 Issue 9

Sep. 2016

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Article Navigation > Journal of Electronics & Information Technology > 2016 > 38(9): 2336-2343

ZHAO Yongjun, ZHAO Yongsheng, ZHAO Chuang. Single-observer Passive DOA-TDOA Location Based on Regularized Constrained Total Least Squares[J]. Journal of Electronics & Information Technology, 2016, 38(9): 2336-2343. doi: 10.11999/JEIT151379

Citation:

ZHAO Yongjun, ZHAO Yongsheng, ZHAO Chuang. Single-observer Passive DOA-TDOA Location Based on Regularized Constrained Total Least Squares[J]. Journal of Electronics & Information Technology, 2016, 38(9): 2336-2343. doi: 10.11999/JEIT151379

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Single-observer Passive DOA-TDOA Location Based on Regularized Constrained Total Least Squares

doi: 10.11999/JEIT151379

Funds:

The National Natural Science Foundation of China (61401469, 41301481, 61501513), The National High Technology Research and Development Program of China (2012AA7031015)

Received Date: 2015-12-08
Rev Recd Date: 2016-04-27
Publish Date: 2016-09-19

Abstract

Abstract

To solve the single-observer passive location estimation using illuminators of opportunity, a jointing Direction Of Arrival (DOA) and Time Difference Of Arrival (TDOA) location method based on Regularized Constrained Total Least Squares (RCTLS) algorithm is proposed. Firstly, the DOA and TDOA measurement equations are linearized. Considering the errors in the location equations, the localization problem is established as a RCTLS model. Then the Newtons method is applied to solving the RCTLS model to obtain the target position. The theoretical error of the proposed algorithm is derived and an optimal regularization parameter is chosen by the least mean square error rule. Simulation results show that the proposed RCTLS algorithm has lower mean squares error than the Constrained Total Least Squares (CTLS) algorithm. Moreover, from the Geometric Dilution Of Precision (GDOP) figure, it can be concluded that positions of the target and illuminators are also important factors affecting the localization accuracy.
- Passive location,
- DOA and TDOA,
- Single-observer,
- Illuminator of opportunity,
- Regularized Constrained Total Least Squares (RCTLS)

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References(25)

References

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