Closed-Form Expressions for I/O Relation in Zak-OTFS with Different Delay-Doppler Filters

📅 2025-04-26
🏛️ IEEE Transactions on Vehicular Technology
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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.

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📝 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.
Problem

Research questions and friction points this paper is trying to address.

Deriving closed-form I/O relations for Zak-OTFS modulation
Analyzing delay-Doppler filters' impact on performance
Comparing bit error rates for different filter configurations
Innovation

Methods, ideas, or system contributions that make the work stand out.

Derives closed-form I/O relations in Zak-OTFS
Considers sinc and Gaussian Tx/Rx DD filters
Evaluates performance with channel-matched filtering
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