Transmitter and Receiver Window Designs for Orthogonal Time Frequency Space Modulation

10/24/2020
by   Zhiqiang Wei, et al.
0

In this paper, we investigate the impacts of transmitter and receiver windows on the performance of orthogonal time-frequency space (OTFS) modulation and propose window designs to improve the OTFS channel estimation and data detection performance. In particular, assuming ideal pulse shaping filters at the transceiver, we derive the impacts of windowing on the effective channel and its estimation performance in the delay-Doppler (DD) domain, the total average transmit power and the effective noise covariance matrix. When the channel state information (CSI) is available at the transceiver, we analyze the minimum squared error (MSE) of data detection and propose an optimal transmitter window to minimize the detection MSE. The proposed optimal transmitter window is interpreted as a mercury/water-filling power allocation scheme, where the mercury is firstly filled before pouring water to pre-equalize the TF domain channels. When the CSI is not available at the transmitter but can be estimated at the receiver, we propose to apply a Dolph-Chebyshev (DC) window at either the transmitter or the receiver, which can effectively enhance the sparsity of the effective channel in the DD domain. Thanks to the enhanced DD domain channel sparsity, the channel spread due to the fractional Doppler is significantly reduced, which leads to a lower error floor in both channel estimation and data detection compared with that of rectangular window. Simulation results verify the accuracy of the obtained analytical results and confirm the superiority of the proposed window designs in improving the channel estimation and data detection performance over the conventional rectangular window design.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
01/28/2021

Performance Analysis and Window Design for Channel Estimation of OTFS Modulation

In this paper, we investigate the impacts of transmitter and receiver wi...
research
09/25/2019

Blind Channel Estimation and Data Detection with Unknown Modulation and Coding Scheme

This paper investigates a complete blind receiver approach in an unknown...
research
09/04/2023

An ML-assisted OTFS vs. OFDM adaptable modem

The Orthogonal-Time-Frequency-Space (OTFS) signaling is known to be resi...
research
06/19/2022

Channel Estimation for Delay Alignment Modulation

Delay alignment modulation (DAM) is a promising technology to eliminate ...
research
07/20/2021

A DNN-based OTFS Transceiver with Delay-Doppler Channel Training and IQI Compensation

In this paper, we present a deep neural network (DNN) based transceiver ...
research
07/03/2023

Reduced-Complexity Cross-Domain Iterative Detection for OTFS Modulation via Delay-Doppler Decoupling

In this paper, a reduced-complexity cross-domain iterative detection for...
research
12/28/2022

Predictive Precoder Design for OTFS-Enabled URLLC: A Deep Learning Approach

This paper investigates the orthogonal time frequency space (OTFS) trans...

Please sign up or login with your details

Forgot password? Click here to reset