Reconfigurable intelligent surface (ris)-assisted positioning reference signal (prs) transmission and assistance data
US-2024236920-A1 · Jul 11, 2024 · US
US2020049791A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2020049791-A1 |
| Application number | US-201916659891-A |
| Country | US |
| Kind code | A1 |
| Filing date | Oct 22, 2019 |
| Priority date | May 10, 2017 |
| Publication date | Feb 13, 2020 |
| Grant date | — |
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A method and device for estimating the time of arrival (ToA) of a radio signal are proposed. The radio signal comprises M subsignals carried on M subcarriers, where M is an integer ≥2. The number of propagation paths and the time of arrival associated with a first path are estimated. The technique can improve ToA estimation accuracy, especially in a multipath fading channel, and reduce the need for channel information.
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What is claimed is: 1 . A method for estimating a time of arrival of a radio signal at a wireless communication device, wherein the radio signal comprises M subcarriers, wherein M≥2, and wherein the method comprises: receiving the radio signal by the wireless communication device; obtaining, by the wireless communication device, M subsignals from the M subcarriers, by demodulating each of the M subcarriers to obtain a respective one of the M subsignals; determining an autocorrelation matrix P of the M subsignals; estimating a number of propagation paths based on the eigenvalues and eigenvectors of the autocorrelation matrix; and estimating a time of arrival of the radio signal associated with a first path based on the eigenvalues and eigenvectors of the autocorrelation matrix and the estimated number of propagation paths. 2 . The method according to claim 1 , wherein the determining of the autocorrelation matrix P comprises: normalizing the subsignals, and calculating the autocorrelation matrix based on the normalized subsignals. 3 . The method according to claim 1 , wherein the estimating of the number of propagation paths comprises finding an integer value m∈{1, 2, . . . , N P } that minimizes the function MDL ( m ) = - ( N p - m ) L log ( ∏ i = m + 1 N p λ i 1 N p - m 1 N p - m ∑ i = m + 1 N p λ i ) + 1 2 m ( 2 N P - m ) log L , wherein N P ∈{2, 3, . . . , M} is an upper boundary of the multipath searching range {1, 2, . . . , N P }; and λ i are eigenvalues of autocorrelation matrix P. 4 . The method according to claim 1 , further comprising generating M symbol sequences by extracting, from each of the M subsignals, L consecutive symbols, the L extracted consecutive symbols forming a respective one of the M symbol sequences. 5 . The method according to claim 4 , wherein the determining of the autocorrelation matrix P comprises calculating the autocorrelation matrix P based on the M symbol sequences. 6 . The method according to claim 4 , wherein the determining of the autocorrelation matrix P comprises calculating P as follows: P = 1 L ∑ l = 1 L R ′ ( l ) R ′ H ( l )
Position of source determined by co-ordinating a plurality of position lines defined by path-difference measurements (G01S5/12 takes precedence) · CPC title
using multipath or indirect path propagation signals in position determination · CPC title
using radio waves (G01S19/00 takes precedence) · CPC title
Accuracy or reliability of position solution or of measurements contributing thereto · CPC title
Multipath in signal reception · CPC title
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