Efficient signal processing techniques for ISAC with mono and multistatic MIMO radar architectures

Date

2025-7-01

Author

Saraç, Uğur Berkay

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The huge increase in the quantity of telecommunication devices and the quality of communication made it necessary to use larger bandwidth and it also showed the importance of bandwidth efficiency. On the other hand, technological applications like automated vehicles or drones bring forward a significantly increasing need for highresolution radars. Along with the use of millimeter waves, which may satisfy the need for high frequency and large bandwidth to a degree, coexistence of radar and communication in the same frequency band and utilization of multiple-input multiple-output (MIMO) architecture, which enables spatial diversity inside a frequency band, would increase bandwidth efficiency considerably. Despite numerous works in the literatüre about integrated sensing and communication (ISAC), there is not a consensus on the signal processing methods or the actual detectors that will be used on such systems. In this thesis, detailed system models for monostatic and multistatic ISAC systems using both single input single-output (SISO) and MIMO architectures are developed and appropriate signal processing methods corresponding to these models, including knowledge-aided and adaptive clutter elimination, are proposed. The performances of the proposed methods are investigated through different performance metrics and compared with their state-of-the-art counterparts in the literature.

Subject Keywords

Integrated sensing and communications, OFDM radar, MIMO radar, Clutter model, Multistatic sensing

URI

https://hdl.handle.net/11511/115467

Collections

Graduate School of Natural and Applied Sciences, Thesis