Reduction of ISI using different equalization of adaptive algorithm for mobile WiMAX communication system

Idris, Azlina; Ya’acob, Norsuzila; Sulong, Siti Maisurah; Sarnin, Suzi Seroja

doi:10.1109/iswta.2014.6981199

Cited by 6 publications

(2 citation statements)

References 15 publications

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“…Suitable weighting is required to remove previous symbol values. Slicer will eliminate the noise before feedback to make sure no additional noise enhancement [10]. Error signal, e(k) equation can be written as…”

Section: Methodsmentioning

confidence: 99%

Performance Evaluation of CLS-DFE for MIMO OFDMA System

Sulong¹

2016

JACN

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Orthogonal frequency division multiple access (OFDMA) is a multiuser of digital modulation technique used to increase wireless transmission rate. Signal efficiency is distorted due to Inter symbol interference (ISI) that occurs due to the multipath propagation. Cascaded Least Square (CLS) with Decision Feedback Equalizer (DFE) had been used in this research in order to mitigate ISI in OFDMA system. CLS is combination of two adaptive algorithms which are Least Mean Square (LMS) and Recursive Least Square (RLS). This research also justified that combination of space time frequency block code (STFBC) with multiple input multiple output (MIMO) antenna enable to minimize ISI. The simulation results show the improvement of bit error rate (BER) performance after reducing ISI and also prove that STFBC was able to achieve maximum diversity order in the MIMO OFDMA system. Index Terms-Least mean square (LMS), recursive least square (RLS), cascaded least square (CLS), decision feedback equalizer (DFE). Siti Maisurah Sulong received her B.Eng. (Hon.) degree in communication from Universiti Teknologi MARA (UiTM), Shah Alam in 2014. She currently pursues her M.Sc. degree (electrical) in UiTM. Her research interests include wireless telecommunication, OFDMA for the WiMax, adaptive algorithm, equalizers and diversity scheme. Azlina Idris received her B.Eng. (Hon.) degree from Leeds Metropolitan University and M.Sc. degree from Universiti Teknologi Malaysia. She completed her PhD degree in Universiti Malaya and now holds position as a senior lecturer in UiTM Shah Alam. Besides that, she is also the coordinator for student employability. Her research interests include pair wise error probability in OFDM, diversity scheme, wireless interference and equalizers. Suzi Seroja Sarnin received her B.Eng. (Hon) degree from Universiti Teknologi Malaysia (UTM), Malaysia in 1999 and M.Sc. (microelectronic), degree from Universiti Kebangsaan Malaysia (UKM), Malaysia in 2006 respectively. She currently pursues her PhD degree in UiTM. Her research interests include channel estimation, coding algorithm for CDMA and WCDMA, mobile telecommunication, synchronization algorithm in OFDM for the Wimax technology application.

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Section: Methodsmentioning

confidence: 99%

Performance Evaluation of CLS-DFE for MIMO OFDMA System

Sulong¹

2016

JACN

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“…It should be noted that if the GPS module is positioned underground or in a building, like an apartment, it is unlikely to function. Multipath is one of the reasons that can affect the transmitted signal, potentially cause it to exhibit a different delay time than the received signal as mentioned by Han et al, [18], Idris et al, [19], and Wang et al, [20]. The GPS module's received data will then be transmitted into the microcontroller.…”

Section: Fig 2 Blynx Application With System Flowchartmentioning

confidence: 99%

Vehicle Tracking System Based on Internet of Things Utilizing TTGO T-CALL ESP32 SIM800l

Azlina Idris,

Muhamad Nor Iman,

Siti Maisurah Sulong

et al. 2024

ARASET

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Nowadays, cases of stolen vehicles are increasing rapidly, particularly in urban areas. The stolen vehicle is difficult for the owner to trace since the GPS system is rarely used due to its expensive cost. Thus, the purpose of this research is to analyze the accuracy of the real-time monitoring provided by the Blynk application using information obtained from GPS modules and to design a simple and compact smart vehicle monitoring anti-theft system utilizing the TTGO T-CALL ESP32 SIM800l with the Blynk application. Next, a tracking system is configured and developed by utilizing the Arduino IDE software to flash the code into the microcontroller and the Internet of Things platform as the connectivity to the Blynk App. Furthermore, the usability and functionality of the Global Positioning System (GPS) and TTGO T-CALL ESP32 SIM800l are essential in determining the vehicle's location. The use of TTGO T-CALL ESP32 SIM800l is to make the device more compact than previous research. The data has been obtained using a comparison of two microcontrollers; TTGO T-Call ESP32 SIM800l and the Arduino Mega connected to the GSM SIM800l. The data will be analyzed under two different parameters; the accuracy of altitude and speed. It can be seen that the TTGO T-Call ESP32 SIM800l has a lower percentage of latitude and longitude errors. It also has great performance in terms of speed accuracy, which is 88.5%.

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