High-Resolution Channel Estimation for Frequency-Selective mmWave Massive MIMO System
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Abstract (arXiv)
In this paper, we develop two high-resolution channel estimation schemes based on the estimating signal parameters via the rotational invariance techniques (ESPRIT) method for frequency-selective millimeter wave (mmWave) massive MIMO systems. The first scheme is based on two-dimensional ESPRIT (TDE), which includes three stages of pilot transmission. This scheme first estimates the angles of arrival (AoA) and angles of departure (AoD) and then pairs the AoA and AoD. The other scheme reduces the pilot transmission from three stages to two stages and therefore reduces the pilot overhead. It is based on one-dimensional ESPRIT and minimum searching (EMS). It first estimates the AoD of each channel path and then searches the minimum from the identified mainlobe. To guarantee the robust channel estimation performance, we also develop a hybrid precoding and combining matrices design method so that the received signal power keeps almost the same for any AoA and AoD. Finally, we demonstrate that the proposed two schemes outperform the existing channel estimation schemes in terms of computational complexity and performance.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 15 Feb 2020.
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Citing papers per year: 2021: 1; 2022: 1; 2023: 0; 2024: 1; 2025: 1.
4 papers.
- 2024Generating High Dimensional User-Specific Wireless Channels using Diffusion Modelscited by 14
- 2021Model-Driven Deep Learning Based Channel Estimation and Feedback for Millimeter-Wave Massive Hybrid MIMO Systemscited by 11
- 2022Data-Driven Deep Learning Based Hybrid Beamforming for Aerial Massive MIMO-OFDM Systems with Implicit CSIcited by 6
- 2025Near-Field Channel Estimation for XL-MIMO: A Deep Generative Model Guided by Side Informationcited by 4
- 2025Near-Field Channel Estimation for XL-MIMO: A Deep Generative Model Guided by Side Information11 May 2025
- 2024Generating High Dimensional User-Specific Wireless Channels using Diffusion Models5 Sep 2024
- 2022Data-Driven Deep Learning Based Hybrid Beamforming for Aerial Massive MIMO-OFDM Systems with Implicit CSI18 Jan 2022
- 2021Model-Driven Deep Learning Based Channel Estimation and Feedback for Millimeter-Wave Massive Hybrid MIMO Systems22 Apr 2021