RF & Navigation Systems
Design and analysis of satellite navigation systems, GNSS receiver architectures, and multi-constellation positioning. Currently focused on lunar navigation infrastructure and the unique challenges of cislunar space — sparse ground coverage, high orbital eccentricities, and terrain-constrained visibility.
Space Technologies
Orbital mechanics, frozen orbit theory, and constellation design for navigation satellite systems beyond Earth orbit. Interested in how mission analysis tools and optimization methods can be applied to emerging lunar and deep-space navigation problems.
Algorithm Engineering
Learning-based approaches to combinatorial optimization problems in radar and tracking systems. Particularly interested in multi-dimensional assignment problems in high-density multi-target environments, where classical solvers break down under real-time constraints.
Software Defined Radios & FPGAs
Implementation of signal processing pipelines on reconfigurable hardware. Bridging the gap between theoretical system models and deployable hardware — from Simulink prototyping to FPGA and SoC realization.
DEM-Constrained Constellation Optimization for Lunar South Pole Navigation
Venue: 11th International Conference on Recent Advances in Air and Space Technologies (RAST 2026)
Authors: Aytaç Arıkan, İrem Beyza Özdemir, Ramazan Yeniçeri
Status: Accepted
Addresses the problem of navigation satellite visibility at the lunar south pole — a region of high scientific and exploration interest but extreme topographic relief. Proposes a DEM-constrained optimization framework for constellation design that accounts for terrain occlusion in coverage calculations.
Multi-Constellation GNSS Receiver Design and Implementation with Simulink
Venue: 12th International Conference on Electrical and Electronics Engineering (ICEEE), September 2025
Authors: Aytaç Arıkan, Ramazan Yeniçeri
Status: Published
Presents the design and Simulink-based implementation of a multi-constellation GNSS receiver capable of processing signals from multiple satellite systems simultaneously. Demonstrates the receiver architecture, signal acquisition and tracking loops, and positioning performance.
Optimization for Orbit Selection and Phasing of a Global Lunar Navigation Satellite System Using Hybrid Frozen Orbits
Venue: 77th International Astronautical Congress (IAC 2026)
Authors: İrem Beyza Özdemir, Aytaç Arıkan, Ramazan Yeniçeri
Status: Abstract Accepted
Investigates the use of hybrid frozen orbit families for a global Lunar Navigation Satellite System (LNSS). Proposes an optimization methodology for joint orbit selection and phasing to maximize global lunar coverage while maintaining long-term orbital stability.
ATAKAN
Yüksek Yoğunluklu Çoklu Hedef Takip Ortamları için Öğrenme Tabanlı Çok Boyutlu Atama
(Learning-Based Multi-Dimensional Assignment for High-Density Multi-Target Tracking Environments)
Develops learning-based solvers for multi-dimensional assignment problems that arise in radar-based multi-target tracking. Combinatorial solvers become computationally intractable at high target densities — ATAKAN explores neural and hybrid approaches.