Uoc luong kenh truyen trong he thong da robot su dung SDR

Fuente: arXiv
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Hauptverfasser: Son, Do Hai, Hung, Nguyen Huu, Hung, Pham Duy, Quynh, Tran Thi Thuy
Format: Preprint
Veröffentlicht: 2024
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author Son, Do Hai
Hung, Nguyen Huu
Hung, Pham Duy
Quynh, Tran Thi Thuy
author_facet Son, Do Hai
Hung, Nguyen Huu
Hung, Pham Duy
Quynh, Tran Thi Thuy
contents This study focuses on developing an experimental system for estimating communication channels in a multi-robot mobile system using software-defined radio (SDR) devices. The system consists of two mobile robots programmed for two scenarios: one where the robot remains stationary and another where it follows a predefined trajectory. Communication within the system is conducted through orthogonal frequency-division multiplexing (OFDM) to mitigate the effects of multipath propagation in indoor environments. The system's performance is evaluated using the bit error rate (BER). Connections related to robot motion and communication are implemented using Raspberry Pi 3 and BladeRF x115, respectively. The least squares (LS) technique is employed to estimate the channel with a bit error rate of approximately 10^(-2).
format Preprint
id arxiv_https___arxiv_org_abs_2403_12892
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Uoc luong kenh truyen trong he thong da robot su dung SDR
Son, Do Hai
Hung, Nguyen Huu
Hung, Pham Duy
Quynh, Tran Thi Thuy
Robotics
Signal Processing
This study focuses on developing an experimental system for estimating communication channels in a multi-robot mobile system using software-defined radio (SDR) devices. The system consists of two mobile robots programmed for two scenarios: one where the robot remains stationary and another where it follows a predefined trajectory. Communication within the system is conducted through orthogonal frequency-division multiplexing (OFDM) to mitigate the effects of multipath propagation in indoor environments. The system's performance is evaluated using the bit error rate (BER). Connections related to robot motion and communication are implemented using Raspberry Pi 3 and BladeRF x115, respectively. The least squares (LS) technique is employed to estimate the channel with a bit error rate of approximately 10^(-2).
title Uoc luong kenh truyen trong he thong da robot su dung SDR
topic Robotics
Signal Processing
url https://arxiv.org/abs/2403.12892