Joint estimation of time of arrival and channel power delay profile for pulse-based UWB systems

2012 ◽  
Author(s):  
Fang Shang ◽  
Benoit Champagne ◽  
Ioannis Psaromiligkos
Keyword(s):  
Joint Estimation ◽  
Time Of Arrival ◽  
Channel Power ◽  
Power Delay Profile ◽  
Estimation Of Time

scholarly journals Fast Joint Estimation of Time of Arrival and Angle of Arrival in Complex Multipath Environment Using OFDM

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 60613-60621 ◽  
Author(s):  
Haiyun Xu ◽  
Yankui Zhang ◽  
Bin Ba ◽  
Daming Wang ◽  
Xiangzhi Li
Keyword(s):  
Joint Estimation ◽  
Time Of Arrival ◽  
Angle Of Arrival ◽  
Multipath Environment ◽  
Estimation Of Time

scholarly journals Improved energy detection receiver for ranging in IEEE 802.15.4a standard

2017 ◽  
Vol 10 (2) ◽  
pp. 141-148
Author(s):  
Abdelmadjid Maali ◽  
Geneviève Baudoin ◽  
Ammar Mesloub
Keyword(s):  
Estimation Algorithm ◽  
Energy Detection ◽  
Ultra Wideband ◽  
Line Of Sight ◽  
Accurate Estimation ◽  
Time Of Arrival ◽  
Power Delay Profile ◽  
Wideband Signals ◽  
Toa Estimation ◽  
Ieee 802.15.4A

In this paper, we propose a novel energy detection (ED) receiver architecture combined with time-of-arrival (TOA) estimation algorithm, compliant to the IEEE 802.15.4a standard. The architecture is based on double overlapping integrators and a sliding correlator. It exploits a series of ternary preamble sequences with perfect autocorrelation property. This property ensures coding gain, which allows an accurate estimation of power delay profile (PDP). To improve TOA estimation, the interpolation of PDP samples is proposed and the architecture is validated by using an ultra-wideband signals measurements platform. These measurements are carried out in line-of-sight and non-line-of-sight multipath environments. The experimental results show that the ranging performances obtained by the proposed architecture are higher than those obtained by the conventional architecture based on a single-integrator in both LOS and NLOS environments.

Subspace-based estimation of time of arrival and Doppler shift for a signal of known waveform

2009 ◽  
Vol 1 (3) ◽  
pp. 209-214
Author(s):  
V.V. Latyshev
Keyword(s):  
Doppler Shift ◽  
Signal To Noise Ratio ◽  
Time Of Arrival ◽  
Computationally Efficient ◽  
Signal To Noise ◽  
Sufficient Statistics ◽  
Ml Estimation ◽  
Generalized Eigenvectors ◽  
Low Dimensional ◽  
Estimation Of Time

The subspace-based technique is used for the estimation of the time of arrival and Doppler shift of a signal of known waveform. The tool to find required subspaces is a special orthogonal decomposition of received data. It allows one to concentrate Fisher information on the desired parameter in just a few of the first terms of the decomposition. This approach offers a low-dimensional vector of sufficient statistics. It leads to computationally efficient Bayesian estimation. Besides, it results in expansion of the signal-to-noise ratio (SNR) range for effective maximum likelihood (ML) estimation. Finally, we can obtain independent time arrival and Doppler shift estimations based on generalized eigenvectors.

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