Oversampled Low Ambiguity Zone Sequences for Channel Estimation over Doubly Selective Channels
Zhi Gu, Zhengchun Zhou, Pingzhi Fan, Avik Ranjan Adhikary, Zilong Liu
TL;DR
This work tackles OFDM pilot design for doubly selective channels by introducing oversampled ambiguity concepts to account for fractional Doppler shifts. It defines O-LAZ sequences as pilots with low sidelobes in the region spanning delays and fractional Doppler, and develops the OA-ITROX algorithm to construct unimodular O-LAZ sequences by minimizing the ISL of the oversampled ambiguity function. The proposed approach yields performance gains in channel estimation and BER compared to traditional ZC, m-sequences, and LAZ designs, approaching CLRB limits in DSC scenarios. The results demonstrate practical benefits for high-mobility communications without modifying OFDM frame structure, with implications for LTE/NR-style systems in DSC settings.
Abstract
Pilot sequence design over doubly selective channels (DSC) is challenging due to the variations in both the time- and frequency-domains. Against this background, the contribution of this paper is twofold: Firstly, we investigate the optimal sequence design criteria for efficient channel estimation in orthogonal frequency division multiplexing systems under DSC. Secondly, to design pilot sequences that can satisfy the derived criteria, we propose a new metric called oversampled ambiguity function (O-AF), which considers both fractional and integer Doppler frequency shifts. Optimizing the sidelobes of O-AF through a modified iterative twisted approximation (ITROX) algorithm, we develop a new class of pilot sequences called ``oversampled low ambiguity zone (O-LAZ) sequences". Through numerical experiments, we evaluate the efficiency of the proposed O-LAZ sequences over the traditional low ambiguity zone (LAZ) sequences, Zadoff-Chu (ZC) sequences and m-sequences, by comparing their channel estimation performances over DSC.
