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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Indonesian Journal of Electrical Engineering and Computer Science
Zuhani Ismail Khan
Universiti Teknologi MARA
Computer Science & IT

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SIW Circular Cavity Single Mode Filter With Triangle Probe Siti Aminah Nordin; Mohd Khairul Mohd Salleh; Zuhani Ismail Khan; Norfishah Ab Wahab; Latifah Noh; Zakiah Mohd Yusoff
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 2: August 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v11.i2.pp672-676

Abstract

A novel substrate integrated waveguide (SIW) circular cavity using triangle probe are proposed in this paper. Prior to this research work, circular cavity resonator was used to achieve a miniaturization for the overall circuit size. The proposed filter provides single resonant mode, TE110. The resonant frequency of TE110 can be adjusted by varying the length and width of the SIW cavity. The proposed filter are designed to operate at frequency 3.75 GHz and implemented on Rogers 3210 substrate with thickness of 0.64 mm. The insertion loss in operating band is less than 0.6 dB and the return loss is better than 24 dB. Simulated result obtained using Ansoft HFSS software.
Clutter reduction technique based on clutter model for automatic target classification in forward scatter radar Nur Emileen Abd Rashid; Nor Ayu Zalina Zakaria; Zuhani Ismail Khan; Siti Amalina Enche Ab Rahim; Nur Luqman Saleh
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 20, No 5: October 2022
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v20i5.24090

Abstract

Classification becomes one of the important elements in the forward scatter radar (FSR) micro-sensors network. This classification performance is dependent on the target’s profile behaviour and the network’s surrounding; and one of the factors that cause the reduction of classification probability is the presence of ground clutter. As the volume of clutter increases, their masking effect becomes greater and may result in more significant errors in target classification. Hence, to reduce misclassification in the FSR sensor network, a new clutter reduction technique based on the ground clutter model is proposed. Simulated ground clutter is modeled based on the estimated signal to clutter ratio (SCR) of the received signal. The clutter effect is diminished by eliminating simulated like-clutter from the receiving signals. The result shows improvement in the classification accuracy, especially for the minimum value of the SCR and this new technique uses only one database which will shorten the processing time and reduce the overall database’s size.
Co-Authors Latifah Noh Mohd Khairul Mohd Salleh Nor Ayu Zalina Zakaria Norfishah Ab Wahab Nur Emileen Abd Rashid Nur Luqman Saleh Siti Amalina Enche Ab Rahim Siti Aminah Nordin Zakiah Mohd Yusoff