Scholarlink

<p>Orthogonal time frequency space (OTFS) modulation is a candidate for low-density high-mobility communication (LDHMC) use case in sixth generation (6G) due to its robustness against Doppler effects. This paper presents a low-complexity channel estimation method based on the A&amp;M frequency estimation algorithm, enabling precise recovery of fractional delay, Doppler, and gain. We show that conventional virtual tap-based methods are inadequate for detection, while sparse Bayesian learning (SBL)-based off-grid approaches, though precise, are computationally intensive. To bridge this gap, we propose a method that combines precision with efficiency, eliminating the trade-off between accuracy and complexity. Its effectiveness is validated through MATLAB simulations and real-time implementation on an Ettus USRP B210 SDR platform.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

A&M based fractional delay and Doppler channel estimation in OTFS

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年8月4日

查看全文
  • Omid Abbassi Aghda,
  • Oussama Ben Haj Belkacem,
  • Nikolajs Tihomorskis,
  • João Guerreiro,
  • Nuno Souto,
  • Michal Szczachor,
  • Rui Dinis

摘要

Orthogonal time frequency space (OTFS) modulation is a candidate for low-density high-mobility communication (LDHMC) use case in sixth generation (6G) due to its robustness against Doppler effects. This paper presents a low-complexity channel estimation method based on the A&M frequency estimation algorithm, enabling precise recovery of fractional delay, Doppler, and gain. We show that conventional virtual tap-based methods are inadequate for detection, while sparse Bayesian learning (SBL)-based off-grid approaches, though precise, are computationally intensive. To bridge this gap, we propose a method that combines precision with efficiency, eliminating the trade-off between accuracy and complexity. Its effectiveness is validated through MATLAB simulations and real-time implementation on an Ettus USRP B210 SDR platform.