Duangsuwan, Sarun
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Preferred name
Duangsuwan, Sarun
Alternative Name
Duangsuwan, S.
Main Affiliation
Email
sarun.du@kmitl.ac.th
17 results
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Item type:Publication, Experimental study for polarimetric measurement of RFID transfer function with in an indoor environment(2009-12-01); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Multipath interference cancellation in multiantenna system with blind channel estimation method(2017-01-18); This paper describes on evaluating performance of blind channel estimation methods to cancel the multipath interference from a severity of channel measurement. The proposed methods are considered in an optimal receiver behind the multiantenna system that provides by approaching a zero-forcing (ZF) and minimum mean square error (MMSE) based on the blind signal processing techniques. In this paper, we measured the 4 × 4 MIMO calibration kit with 2.45 GHz sleeve monopole array antennas and employed a vector network analyzer (VNA) to make of channel sounding. The measurement results after data processing is demonstrated by a realistic received signal and we point out how to evaluate the multipath interference with the proposed methods. For the MIMO multiantenna system, we guarantee that the proposed blind channel estimation methods helps to cancel the multipath fading channel and maintains an uncertainty of receiving signals in multiantenna system as perfectly. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Experimental evaluation of received signal using blind channel estimation for RFID system via MIMO antenna(2014-01-01); In this paper, we investigate an evaluation of the received signal by using blind channel estimation for radio frequency identification (RFID) system via multiple input multiple output (MIMO) antenna. This method is based on higher order statistic of the received signal to estimate the ambiguity of MIMO antenna. The advantage of blind channel estimation is shown that to achieve the severe of multipath interference, when employed the zero-forcing (ZF) and the minimum mean square error (MMSE) at the receiver. The measurement result is illustrated that the signal verified and estimated of the received signal have been compared. This technique is a novel of signal processing on designing of RFID reader based on MIMO antenna will be utilized. © 2014 IEEE. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A WiFi Link Budget Analysis of Drone-based Communication and IoT Ground Sensors(2021-04-01); An application of drone-based wireless networking in agricultural scenarios needs to analyze the radio link budget because of the uncertain propagation from the surrounding. This paper presents a link budget analysis between drone as a drone small cell (DSC) and Internet of Things (IoT) as a ground sensor. The measurement results show the received signal strength indicator (RSSI), path loss, and delay spread at 2.4 GHz frequency when considering the numbers of ground sensors to 15 points and use a single drone enabled with WiFi portable link. It can be found that drone DSC can compensate for the limited power of ground sensors and link budget analysis can optimally evaluate the communication channel in this scenario. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Quantitative Measurement of Path Loss Model Adaptation Using the Least Squares Method in an Urban DVB-T2 System(2018-01-01); ; The aim of this paper was to propose quantitative measurement of path loss model adaptation in urban radio propagation for a second-generation, terrestrial digital video broadcasting standard (DVB-T2) system. The measurement data was analyzed using data processing based on the least squares (LS) method to verify the probabilistic quantitation of realistic data measurement such as mean error (ME), root mean square error (RMSE), and standard deviation of error (SD), as well as relative error (RE). To distinguish the experimental evaluation, the researchers compared between the conventional Hata path loss model and the proposed model. The result showed that path loss based on the proposed model was more accurate in predicting the quantitative measurement of propagation data properly. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Performance Analysis of Power Outage Probability for Drone based IoT Connectivity Network(2019-12-01); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Measurement and evaluation of RFID transmission characteristic for long range systems(2009-11-18); ; Chengtanomwong, P.The radio frequency identification (RFID) is a wireless communications that lets computer reads the identity to tag at 2:45 GHz can be fast identified the high speeds at 3 meters read range guaranteed at speeds of 100 km/hr. This paper used the model for expressway by supposing receiver moves to fixed transmitter, the microstrip antenna was used for both transmitter and receiver, The Friis's transmission formula is used for analysis. We considered characteristics of antennas performance at each distance transmission channel, magnitude and phase channel transfer function, bit error rate, path loss and rms delay spread were the results of experimental. This technique is very to useful for analyzed the signal performance and transmission signal in the RFID networks. © 2009 IEEE. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Empirical Path Loss Channel Characterization Based on Air-to-Air Ground Reflection Channel Modeling for UAV-Enabled Wireless Communications(2021-01-01); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A Study of A2A Channel Modeling for Small UAV-Enabled Wireless Communication(2022-01-01); The objective of this work is to study the ground reflection modeling case study of air-to-air (A2A) channel modeling for an unmanned aerial vehicle (UAV)-enabled wireless communications. We consider the Internet of Things (IoT) WiFi modules at 2.4 GHz standard enabled with the transmitter Tx- UAV and the receiver Rx-UAV. The received signal strength indicator (RSSI) and path loss characteristics are addressed by using the free space path loss (FSPL) model, air-to-air two- ray (A2AT-R) model, and the modified Log-distance path loss model. The measurement results indicated that the limit of power constraint of WiFi modules was a level at 10 m Rx-UAV altitude, and the received sensitivity was limited at -95 dBm. It is shown that the impact of ground reflection path loss was characterized at 1-3 m Rx-Uavaltitudes which are accordingly related to the A2AT-R model and the relative resulting with the modified Log- distance model above 4 m Rx-UAV altitudes. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Performance Analysis of Unmanned Aerial Vehicle Assisted Wireless IoT Sensors Based on Air-to-Ground Communication Model for Smart Farming(2023-01-01); We used an unmanned aerial vehicle (UAV) and IoT as a new platform for soil moisture monitoring based on the air-to-ground (A2G) communication model. We investigated an energyefficient UAV trajectory by considering the power outage probability and transmission rate for UAV-assisted wireless IoT sensor connectivity. We considered the closed-form power outage probability for IoT sensors located within the coverage zone of a UAV drone small cell. We conducted experiments in the Napier and Ruzi grass farms with IoT sensors for detecting soil moisture along a drip line irrigation system located in the fields. The power outage probability is given for different UAV heights and transmission rates, which contributes to reliable communication with IoT sensors.