Performance limit of AOA-based localization using MIMO-OFDM channel state information

Demeechai, Tanee; Kukieattikool, Pratana

doi:10.1186/s13638-017-0926-z

Cited by 6 publications

(4 citation statements)

References 23 publications

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“…The purpose of data processing is to denoise the original data representing the Y matrix using several common methods for electromagnetic wave denoising to determine whether the results meet the expected conditions. Previous studies [14,15,16,17,18] showed that, among the several traditional methods, wavelet transform has the best filtering effect. Therefore, in this process, wavelet transform was chosen.…”

Section: System Designmentioning

confidence: 99%

“…We considered it inappropriate to use traditional filters (e.g., the Butterworth and Chebyshev filters) to remove the high frequency noise contained in CFR because they an not only eliminate noise but also blur the possible rise and fall edges of CFR signals, which are essential for detecting sleep apnea and rollover. Here, we applied the wavelet filter proposed in (Demeechai, Kukieattikool, et al) [18], because it retains the sharp conversion of signals better than other low-pass filters. More specifically, we applied the 8-level b3 wavelet transform to each CFR sequence, and only used detailed coefficients to re-construct.…”

Section: Processing Of C-band Sensingmentioning

confidence: 99%

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Posture-Specific Breathing Detection

Guan

Yang

Sun

et al. 2018

Sensors

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Human respiratory activity parameters are important indicators of vital signs. Most respiratory activity detection methods are naïve abd simple and use invasive detection technology. Non-invasive breathing detection methods are the solution to these limitations. In this research, we propose a non-invasive breathing activity detection method based on C-band sensing. Traditional non-invasive detection methods require special hardware facilities that cannot be used in ordinary environments. Based on this, a multi-input, multi-output orthogonal frequency division multiplexing (MIMO-OFDM) system based on 802.11n protocol is proposed in this paper. Our system improves the traditional data processing method and has stronger robustness and lower bit relative error. The system detects the respiratory activity of different body postures, captures and analyses the information, and determines the influence of different body postures on human respiratory activity.

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Section: System Designmentioning

confidence: 99%

Section: Processing Of C-band Sensingmentioning

confidence: 99%

Posture-Specific Breathing Detection

Guan

Yang

Sun

et al. 2018

Sensors

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“…Indoor positioning attracts more and more attention with the increasing requirement of positioning based on services recently [1][2][3]. In general, indoor positioning methods can be classified into three categories according to the parameter used: angle of the signal arrival (AOA) [4], time of the signal arrival (TOA) [5], and the received signal strength (RSS) or the received signal strength index (RSSI) [6]. The distance between the transmitter and receiver can be calculated by multiplying the TOA with the signal travel speed.…”

Section: Introductionmentioning

confidence: 99%

A fast distributed indoor positioning based on received signal strength index

Liang¹,

Liu²,

Cai³

et al. 2023

International Conference on Signal Processing, Computer Networks, and Communications (SPCNC 2022)

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The ubiquitous WiFi makes it a location service infrastructure and attracts more attention now. We use the cubic spline interpolation method to interpolate the attenuation factor n, and a wide range of indoor corridor environments test results show that the cubic spline interpolation method is more conducive to achieving the precise distance. We also improved the classical trilateration positioning algorithm with a priori knowledge of the specific positioning environment. The improved positioning algorithm significantly reduces positioning errors and improves positioning accuracy. The positioning method is transferred to the embedded positioning node to make distributed positioning with lower calculation cost.

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“…Among these parameters, the AOA can be used to estimate the localization of the UEs. There is a study related to AOA-based localization estimation using MIMO-OFDM channel state information (CSI) [9]. In addition, the 3D channel model includes parameters related to polarization and antenna configuration (linear antenna, array antenna) [10].…”

Section: Introductionmentioning

confidence: 99%

Relay Selection Scheme for Multi-Hop Transmission of MU-MIMO System

2018

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Recently, wireless communication systems use a multi-hop transmission scheme using a relay to expand the cell coverage of the system. The multi-hop transmission scheme can expand the cell coverage of wireless communication systems. However, if an appropriate relay is not selected, errors generated during signal processing in the relay are transmitted to the receiver. Therefore, a relay selection scheme is essential for reliable multi-hop transmission. This paper proposes a relay selection scheme for reliable multi-hop transmission in a multi user-multiple input multiple output (MU-MIMO) system. The proposed relay selection scheme uses a MIMO channel matrix between the transmitter and relays to select an appropriate relay. The proposed relay selection scheme obtains the singular values of the MIMO channel matrix using the singular value decomposition (SVD). Then, the sum of the singular values is calculated, and the relay having the largest value is selected. Therefore, in the proposed relay selection scheme, although the transmitter only knows the channel information between the transmitter and relays, the transmitter can select an appropriate relay for reliable multi-hop transmission.

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Performance limit of AOA-based localization using MIMO-OFDM channel state information

Cited by 6 publications

References 23 publications

Posture-Specific Breathing Detection

Posture-Specific Breathing Detection

A fast distributed indoor positioning based on received signal strength index

Relay Selection Scheme for Multi-Hop Transmission of MU-MIMO System

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