Differential Time of Arrival Based Opportunistic Positioning for Asynchronous Cellular Signals: Model, Algorithms and Experiments
- 所属单位：北京航空航天大学
- 发表刊物：IEEE Transactions on Vehicular Technology
- 关键字：positioning, signals of opportunity, cellular signal, asynchronous, DTOA, TSWLS
- 摘要：Signal asynchronism significantly challenges opportunistic cellular signal positioning. Existing solutions typically rely on global navigation satellite system (GNSS)-assisted initialization or multiterminal collaboration, resulting in limited application scenarios and high implementation costs. To overcome this, a differential time-of-arrival (DTOA)-based asynchronous cellular signal positioning system is developed. By treating the user equipment at the previous time as a differential reference, a DTOA
positioning model is presented to implement asynchronous ellular
positioning completely independently. The Taylor-series method,
which has Cramer–Rao lower bound accuracy, is considered to
solve the DTOA equations. To ensure global convergence, the twostep weighted least squares (TSWLS) method and its bias
reduction methods are extended to DTOA positioning to obtain an initial position guess. The linear equations at each step are
reconstructed, and TSWLS ambiguity is eliminated. Simulations
are conducted to analyze the DTOA positioning geometry and the
performance of the proposed algorithms. The proposed system
implements preliminary positioning based on DTOA and exploits
an extended Kalman filter for real-time positioning. It is validated
experimentally, the DTOA and EKF positioning root meansquared errors in the field test are 4.0 m and 4.2 m, respectively, which are close to the accuracy of a conventional system with GNSS-assisted initialization.
- 论文类型：期刊论文
- 一级学科：信息与通信工程
- 文献类型：期刊
- 是否译文：否
- 收录刊物：SCI
附件：
2023-TVT-Differential Time of Arrival Based Opportunistic Positioning for Asynchronous Cellular Signals.pdf
