Subspace Aware Compressive Sensing Aided Detection for MIMO OFDM based ISAC MIMO OFDM Tabanli ISAC i in Alt Uzay Farkinda Siki stirmali Algilama Destekli Tespit

2025-01-01
In wireless communication systems, the temporal and spatial variations of the channel can significantly affect signal detection accuracy. Angular spread and Doppler effects further complicate the channel estimation process, highlighting the need for advanced signal processing techniques. In this study, we propose an Angular and Doppler Spread Aware Orthogonal Matching Pursuit (OMP) algorithm for Integrated Sensing and Communication (ISAC) systems. The proposed method estimates channel coefficients using basis decomposition in the angular domain while incorporating Doppler-induced phase shifts into the model. Designed to optimize both sensing and communication performance in ISAC systems, the proposed approach enhances the reliability of channel estimation, facilitating a more efficient interaction between communication and sensing tasks.
33rd IEEE Conference on Signal Processing and Communications Applications, SIU 2025
Citation Formats
B. Kirdar and G. M. Güvensen, “Subspace Aware Compressive Sensing Aided Detection for MIMO OFDM based ISAC MIMO OFDM Tabanli ISAC i in Alt Uzay Farkinda Siki stirmali Algilama Destekli Tespit,” presented at the 33rd IEEE Conference on Signal Processing and Communications Applications, SIU 2025, İstanbul, Türkiye, 2025, Accessed: 00, 2025. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=105015421976&origin=inward.