toa estimation
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Author(s):  
Huthaifa A. Obeidat ◽  
Imran Ahmad ◽  
Mohammad R. Rawashdeh ◽  
Ali A. Abdullah ◽  
Wafa S. Shuaieb ◽  
...  

2021 ◽  
Author(s):  
Tobias Feigl ◽  
Ernst Eberlein ◽  
Sebastian Kram ◽  
Christopher Mutschler

2021 ◽  
Author(s):  
Sander Coene ◽  
Cedric De Cock ◽  
Emmeric Tanghe ◽  
David Plets ◽  
Luc Martens ◽  
...  

Author(s):  
Huthaifa A. Obeidatat ◽  
Imran Ahmad ◽  
Mohammad R. Rawashdeh ◽  
Ali A. Abdullah ◽  
Wafa S. Shuaieb ◽  
...  

AbstractThis paper presents the advantages of using a wideband spectrum adopting multi-carrier to improve targets localization within a simulated indoor environment using the Time of Arrival (TOA) technique. The study investigates the effect of using various spectrum bandwidths and a different number of carriers on localization accuracy. Also, the paper considers the influence of the transmitters’ positions in line-of-sight (LOS) and non-LOS propagation scenarios. It was found that the accuracy of the proposed method depends on the number of sub-carriers, the allocated bandwidth (BW), and the number of access points (AP). In the case of using large BW with a large number of subcarriers, the algorithm was effective to reduce localization errors compared to the conventional TOA technique. The performance degrades and becomes similar to the conventional TOA technique while using a small BW and a low number of subcarriers.


2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Liangliang Gong ◽  
Yang Hu ◽  
Junyao Zhang ◽  
Gaofeng Zhao

The ultra-wideband (UWB) system, which transmits information using nanosecond or even sub-nanosecond pulses, has been widely applied in precise positioning. In this paper, we investigate the problem of the time of arrival (TOA) estimation and the direction of arrival (DOA) estimation in the UWB systems with antenna array and propose a joint TOA and DOA estimation algorithm with doubled frequency sample points and extended number of clusters. Specifically, the proposed algorithm uses two antennas to receive impinging signals and utilizes the conjugate symmetry characteristic of the delay matrices to extend the sample points as well as the number of clusters. Moreover, in order to obtain TOA estimates with low computational complexity, the proposed algorithm transforms the two-dimensional (2D) spectral search to one-dimensional (1D) searches. The DOA estimates can then be achieved by using the TOA estimation results and the geometric information. Simulation results are given to testify the performance of the proposed algorithm.


Author(s):  
Iker Sobron ◽  
Iratxe Landa ◽  
Inaki Eizmendi ◽  
Manuel Velez

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