Rahul Lal P. currently serves as an Assistant Professor at the Department of Electronics and Communication Engineering at Amrita School of Engineering, Amritapuri. He has completed M. Tech. in Microwave.
Mr. Rahul Lal P is an Electronics & Communication Engineer who is currently working in the area of on-chip antennas. He completed his undergraduate in Engineering from SNM Institute of Management & Technology, Maliankara, Ernakulam in 2008, and Masters in Microwave Engineering from Cochin University of Science & Technology, Kalamassery, Ernakulam.
His research areas include planar filters, substrate integrated waveguide-based filters, antennas, power dividers and cross-over circuits. He has more than half a dozen papers to his credits over the years. He is also actively engaged in teaching and guiding several teams of graduate and undergraduate students in research.
- 2010: M. Tech.
Microwave Engineering from CUSAT
- 2008: B. Tech.
Electronics & Communication Engineering from SNIMT
- Planar filters
- Substrate Integrated Waveguides(SIW)
- Antenna design
- On-chip antenna design
- Circuit Design
- Ansys HFSS
- Multi Sim
- LT Spice
Publication Type: Conference Paper
Year of Publication
A. Gopinath and Rahul Lal P., “Substrate Integrated Waveguide Based Hybrid Cavity Filter For Ku Band Applications”, in 6th International Conference on Communication and Signal Processing 2017, A Adhiparasakthi Engineering College, Chennai, India, 2018.[Abstract]
In this paper a hybrid cavity substrate integrated waveguide filter is proposed and demonstrated for Ku band application. Hybrid cavity which is the combination of both circular and rectangular cavity, showcases a better frequency selectivity and Quality Factor in comparison with other cavity based substrate integrated waveguide filters. Quality Factor requirements are met by the introduction of shorting posts at specified points inside the cavity. Filter operates at a frequency of 13GHz with an optimized Q factor of 377.096. The detailed analysis of the proposed structure is simulated and studied using the ANSYS HFSS software.