1. Zak-OTFS and Turbo Signal Processing for Joint Sensing and Communication
- Author
-
Jayachandran, Jinu, Ubadah, Muhammad, Mohammed, Saif Khan, Hadani, Ronny, Chockalingam, Ananthanarayanan, and Calderbank, Robert
- Subjects
Electrical Engineering and Systems Science - Signal Processing ,Computer Science - Information Theory - Abstract
The Zak-OTFS input/output (I/O) relation is predictable and non-fading when the delay and Doppler periods are greater than the effective channel delay and Doppler spreads, a condition which we refer to as the crystallization condition. The filter taps can simply be read off from the response to a single Zak-OTFS pilot pulsone, and the I/O relation can be reconstructed for a sampled system that operates under finite duration and bandwidth constraints. In previous work we had measured BER performance of a baseline system where we used separate Zak-OTFS subframes for sensing and data transmission. In this Letter we demonstrate how to use turbo signal processing to match BER performance of this baseline system when we integrate sensing and communication within the same Zak-OTFS subframe. The turbo decoder alternates between channel sensing using a noise-like waveform (spread pulsone) and recovery of data transmitted using point pulsones., Comment: This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible. arXiv admin note: text overlap with arXiv:2404.04182
- Published
- 2024