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Performance of Channel Estimation Technique in MIMO-OFDM System Using mPSK Modulation ., Musayyanah; Moegiharto, Yoedy; Puja Astawa, I Gede
EMITTER International Journal of Engineering Technology Vol 1, No 1 (2013)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Multicarrier modulation technique as Orthogonal Frequency Division Multiplexing (OFDM) is able to vanishIntersymbol Interferences (ISI) caused by multipathchannel. Merging with multi- antenna transmission techniques such asMIMO become MIMO- OFDM system is able to improve (data rate transmission)the transmission of data and capacity of the system. Pilot channel estimation technique with the algorithm Linear Minimum Mean Square Error (LMMSE) with modulation m-PSK is applied in this study. The results obtained in the form of graphs BER against EbNo which shows that the system performance with LMMSEestimator has a different gain for QPSKmodulation better about 0.75 dB, for 8 PSKmodulation is about 1.5 dB and for 16 PSKmodulation around 1 dB compare to LS estimator. Number of the largest antenna both in the transmitter and receiver produce the best system performance. Observation for QPSKmodulation shows a scheme transmitter- receiver antenna 4x2 having gain approximately 9 dB better than the number of the lowest transmitter antenna(1x2). For scheme 4x4 shows gain around 8,5 dB than the number of the lowest receiver antenna.Keywords:MIMO, OFDM,LS, LMMSE, MPSK.

Performance of Channel Estimation Technique in MIMO-OFDM System Using mPSK Modulation ., Musayyanah; Moegiharto, Yoedy; Puja Astawa, I Gede
EMITTER International Journal of Engineering Technology Vol 1, No 1 (2013)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v1i1.2

Multicarrier modulation technique as Orthogonal Frequency Division Multiplexing (OFDM) is able to vanishIntersymbol Interferences (ISI) caused by multipathchannel. Merging with multi- antenna transmission techniques such asMIMO become MIMO- OFDM system is able to improve (data rate transmission)the transmission of data and capacity of the system. Pilot channel estimation technique with the algorithm Linear Minimum Mean Square Error (LMMSE) with modulation m-PSK is applied in this study. The results obtained in the form of graphs BER against EbNo which shows that the system performance with LMMSEestimator has a different gain for QPSKmodulation better about 0.75 dB, for 8 PSKmodulation is about 1.5 dB and for 16 PSKmodulation around 1 dB compare to LS estimator. Number of the largest antenna both in the transmitter and receiver produce the best system performance. Observation for QPSKmodulation shows a scheme transmitter- receiver antenna 4x2 having gain approximately 9 dB better than the number of the lowest transmitter antenna(1x2). For scheme 4x4 shows gain around 8,5 dB than the number of the lowest receiver antenna.Keywords:MIMO, OFDM,LS, LMMSE, MPSK.

Rancang Bangun Sistem Pemantauan Tekanan dan Suhu Ban Berbasis Internet of Things dan Software Defined Radio Briantoro, Hendy; Budikarso, Anang; Arifin; Moegiharto, Yoedy; Yanuar Hariyawan, Mohammad
Jurnal ELEMENTER (Elektro dan Mesin Terapan) Vol 10 No 1 (2024): Jurnal Elektro dan Mesin Terapan (ELEMENTER)
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35143/elementer.v10i1.6277

There are many motor vehicle accidents on the road, one of the causes being tire blowouts. These accidents occur because drivers continue to drive their vehicles even though the tire pressure and temperature exceed the specified threshold. To address this issue, there is a need for a tire pressure and temperature monitoring system that can be continuously monitored by the driver. If there is a malfunction in the monitoring device on the vehicle dashboard, the driver can be alerted by others who also monitor tire pressure and temperature information remotely. In this study, we developed a tire pressure and temperature monitoring system for vehicles that can be accessed remotely using Internet of Things (IoT) technology. Additionally, we utilized Software Defined Radio (SDR) technology for pressure and temperature data reading. This system successfully monitors tire pressure and temperature changes remotely via computer and smartphone. Based on the test results, the best standard deviation value for tire pressure is 3.54, while the best standard deviation value for tire temperature is 1.72

Evaluation of Joint Technique Iterative Clipping Filtering (ICF) and Neural Network Predistortion on SDR-based MIMO-OFDM System Gulo, Melki Mario; Astawa, I Gede Puja; Sudarsono, Amang; Moegiharto, Yoedy; Priambodo, Naufal Ammar; Gunawan, M. Wisnu
JOIV : International Journal on Informatics Visualization Vol 8, No 2 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.2.1981

Multiple-input, multiple-output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) is a communications technology that powers numerous modern communication systems, including 5G and WiFi-6. This technology is utilized in current communication systems due to its high performance and extensive channel capacity. MIMO-OFDM does have disadvantages, such as large Peak-to-Average Power Ratio (PAPR) values. If the signal is processed by a nonlinear Power Amplifier (PA) device, a high PAPR value signal can result in both in-band and out-of-band signal distortion. To combat high PAPR values, PAPR reduction strategies such as Iterative Clipping Filtering (ICF) are utilized. From this study, using ICF with iteration 2 and Clipping Ratios (CR) 3 and 4 can improve the system's minimum Bit Error Rate (BER) by about 22.8% and 91.1%, respectively. Choosing the correct CR will improve the system, but using the lower CR will make it worse than a system without ICF. This occurs in systems using ICF with iterations two and CR 2 and at the same SNR conditions as systems without ICF; using ICF with iterations two and CR 2 results in higher BER values. The use of Predistortion Neural Network (PDNN) can overcome this problem. By using PDNN, there is an improvement in the system where the minimum BER value can reach 0.1 × 10-5. The percentage decrease in BER from using PDNN for ICF with iterations two and CR 2, 3, and 4 is 99.88%, 99.86%, and 98.807%, respectively. Thus, the joint techniques of ICF and PDNN can significantly enhance the performance of MIMO-OFDM systems with nonlinear PA. Importantly, the experiment was conducted on an SDR device, ensuring the real-world applicability of the results.

Pengembangan dan Penyuluhan Sistem Pemantau Kelembaban dan pH Tanah Tanaman Padi untuk Petani Desa Sambit Nailul Muna; Darwito, Haryadi Amran; Dutono, Titon; Arifin, Arifin; Syahroni, Nanang; Moegiharto, Yoedy; Suparno, Hari Wahjuningrat; Lestari, Paramita Eka Wahyu
Society : Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol. 5 No. 1 (2024): Vol.5 No.1, October 2024
Publisher : Universitas Dinamika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37802/society.v5i1.709

Pertanian telah memberikan kontribusi signifikan dalam pertumbuhan ekonomi dan peningkatan pendapatan masyarakat. Namun, perubahan iklim yang ekstrem berdampak pada tingkat kelembaban dan pH tanah, sehingga mempengaruhi produktivitas tanaman padi. Saat ini, petani di Desa Sambit, Kabupaten Ponorogo, Jawa Timur, menghadapi kendala dalam memantau kelembaban dan pH tanah secara efektif. Hal ini mengakibatkan kesulitan bagi petani dalam menyesuaikan penyiraman dan pemberian pupuk sesuai dengan kebutuhan tanaman padi. Berdasarkan permasalahan tersebut, kami bertujuan untuk meningkatkan keterampilan petani dalam mengelola kondisi tanah dengan lebih efektif melalui pengembangan sistem yang memantau kelembaban dan pH tanah secara real-time. Metode kegiatan ini berupa pengembangan dan penyuluhan yang dilakukan melalui beberapa tahapan yang diawali dengan perencanaan yang meliputi wawancara dan survei. Kedua, pembuatan sistem pemantau kelembaban dan pH yang terintegrasi dengan platform Blynk untuk memantau hasil sensor secara real-time. Ketiga, implementasi sistem di lapangan dan terakhir tahap penyuluhan yang mencakup aspek teoritis dan praktis. Hasil dari kegiatan ini yaitu adanya sistem yang dapat membantu petani dalam memantau kelembaban dan pH secara otomatis dan real-time serta kemauan para petani dalam memodernisasi teknologi pertanian untuk mencapai pertanian yang berkelanjutan. Tindak lanjut dari kegiatan ini adalah memonitor respons petani terhadap sistem yang dikembangkan serta memberikan dukungan teknis yang diperlukan agar penggunaan sistem dapat optimal dan berkelanjutan dalam jangka panjang.

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