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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2022, Vol. 43 ›› Issue (7): 325405-325405.doi: 10.7527/S1000-6893.2021.25405

• Electronics and Electrical Engineering and Control • Previous Articles     Next Articles

A novel method for TDOA localization in presence of synchronization clock bias and sensor position uncertainty

WANG Ding1,2, YIN Jiexin1,2, GAO Lu3, YANG Bin1,2   

  1. 1. Institute of Information System Engineering, PLA Strategic Support Force Information Engineering University, Zhengzhou 450001, China;
    2. National Digital Switching System Engineering and Technology Research Center, Zhengzhou 450002, China;
    3. Beijing Institute of Space Long March Vehicle, Beijing 100076, China
  • Received:2021-02-21 Revised:2021-07-21 Published:2021-07-20
  • Supported by:
    National Natural Science Foundation of China (62071029, 61772548, 61901526); Key Scientific and Technological Projects in Henan Province (192102210092); Research and Development Fund of PLA Strategic Support Force Information Engineering University (F4108, F4109)

Abstract: Synchronous clock bias and sensor position uncertainty seriously affect Time Difference of Arrival (TDOA) positioning performance. To solve this problem, based on the principle of Weighted MultiDimensional Scaling (WMDS), this paper proposes a novel TDOA location method, which can effectively restrain the influence of these two kinds of errors. First, an elimination matrix is constructed to mitigate the effect of clock offset. Subsequently, the location relationship is formed based on the WMDS approach, and the estimation results of the locations of the emitter and the sensors are obtained. Finally, the synchronization clock bias is determined based on the criterion of the maximum likelihood estimator. The proposed method makes use of the dimension and eigenstructure information of the scalar product matrix, and thus has stronger robustness to all kinds of errors. A theoretical performance analysis shows that the Mean Square Error (MSE) of the proposed estimator for all the unknowns can reach the corresponding Cramér-Rao Lower Bound(CRLB). Simulation results verify that the new estimator is asymptotically efficient, and its threshold effect occurs later than that of some existing TDOA localization methods.

Key words: emitter localization, Time Difference of Arrival(TDOA), Weighted MultiDimensional Scaling(WMDS), synchronization clock bias, sensor location uncertaintyhttp

CLC Number: