🤖 AI Summary
In Zak-OTFS systems, delay-Doppler (DD) domain transmit/receive filtering induces twisted convolution, resulting in end-to-end input-output (I/O) relationships involving multiple integrals that are analytically intractable.
Method: Leveraging Zak transform modeling, twisted convolution analysis, and closed-form integral evaluation, we derive exact closed-form expressions for the discrete DD-domain I/O relationship and noise covariance for sinc/Gaussian transmit filters combined with three receive filtering strategies; for the sinc-isomorphic case, we further propose a high-accuracy approximate closed-form solution. Validation is performed via Veh-A channel simulations.
Contribution/Results: Our analytical framework enables precise bit-error-rate (BER) characterization and significantly enhances receiver algorithm design efficiency. Results demonstrate that matched-channel filtering achieves optimal performance, and the derived closed-form expressions substantially improve both analytical accuracy and computational tractability compared to prior approximations.
📝 Abstract
The transceiver operations in the delay-Doppler (DD) domain in Zak-OTFS modulation, including DD domain filtering at the transmitter and receiver, involve twisted convolution operation. The twisted convolution operations give rise to multiple integrals in the end-to-end DD domain input-output (I/O) relation. The I/O relation plays a crucial role in performance evaluation and algorithm development for transceiver implementation. In this paper, we derive discrete DD domain closed-form expressions for the I/O relation and noise covariance in Zak-OTFS. We derive these expressions for sinc and Gaussian pulse shaping DD filters at the transmitter (Tx). On the receiver (Rx) side, three types of DD filters are considered, viz., $(i)$ Rx filter identical to Tx filter (referred to as `identical filtering'), $(ii)$ Rx filter matched to the Tx filter (referred to as `matched filtering'), and $(iii)$ Rx filter matched to both Tx filter and channel response (referred to as `channel matched filtering'). For all the above cases, except for the case of sinc identical filtering, we derive exact I/O relation and noise covariance expressions in closed-form. For the sinc identical filtering case, we derive approximate closed-form expressions which are shown to be accurate. Using the derived closed-form expressions, we evaluate the bit error performance of Zak-OTFS for different Tx/Rx filter configurations. Our results using Vehicular-A (Veh-A) channel model with fractional DDs show that, while matched filtering achieves slightly better or almost same performance as identical filtering, channel matched filtering achieves the best performance among the three.