Related Experiment Video
Updated: May 28, 2026
07:14
Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar
Published on: May 1, 2018
Two-Stage Sparse Recovery for Off-Grid Cascaded Channel Estimation in RIS-Assisted mmWave Systems
Zhiyu Han1, Qiuyan Liu2, Yanxia Cao2
1The Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876, China.
Sensors (Basel, Switzerland)
|May 27, 2026
Summary
This study introduces the TS-PO algorithm for accurate channel estimation in reconfigurable intelligent surface (RIS)-assisted millimeter-wave (mmWave) systems. It effectively reduces estimation errors and improves accuracy, even with limited pilot data.
Area of Science:
- Wireless communication systems
- Signal processing
- Electromagnetics
Background:
- Accurate channel estimation is vital for reconfigurable intelligent surface (RIS)-assisted millimeter-wave (mmWave) systems.
- Conventional compressive sensing estimators face performance degradation due to off-grid leakage in spatial angle estimation.
Purpose of the Study:
- To propose a novel two-stage channel estimation framework to address off-grid leakage in RIS-assisted mmWave systems.
- To develop an algorithm, TS-PO, that enhances channel estimation accuracy and mitigates performance degradation.
Main Methods:
- A two-stage framework involving support selection and amplitude recovery.
- Utilizing a preconditioned linear Bregman iteration (PLBI) for channel support identification.
- Employing localized orthogonal matching pursuit (OMP) for accurate physical channel gain recovery.
Main Results:
- The TS-PO algorithm effectively suppresses off-grid energy leakage.
- Significant mitigation of the estimation error floor was observed.
- High reconstruction accuracy was achieved under strict pilot overhead constraints.
- Demonstrated strong robustness in dense multipath environments.
Conclusions:
- The proposed TS-PO framework offers a robust solution for channel estimation in RIS-assisted mmWave systems.
- It overcomes limitations of conventional methods by effectively handling off-grid effects.
- The algorithm provides accurate and reliable channel state information, crucial for system performance.
Related Concept Videos
01:16Cascaded Op Amps
Operational amplifiers (op-amps) are versatile electronic components that can be interconnected in a cascade - one after another in a linear sequence. This cascading is possible due to their infinite input resistance and zero output resistance, allowing them to maintain their input-output relationships even when connected in series.
In a cascaded system, each op-amp is referred to as a stage. The output of one stage drives the input of the subsequent stage. As the input signal passes through...
In a cascaded system, each op-amp is referred to as a stage. The output of one stage drives the input of the subsequent stage. As the input signal passes through...
01:20Cluster Sampling Method
Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
00:59Propagation of Uncertainty from Random Error
An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
01:10Propagation of Uncertainty from Systematic Error
The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this particular...
01:31Energy Stored In A Coaxial Cable
A coaxial cable consists of a central copper conductor used for transmitting signals, followed by an insulator shield, a metallic braided mesh that prevents signal interference, and a plastic layer that encases the entire assembly.
In the simplest form, a coaxial cable can be represented by two long hollow concentric cylinders in which the current flows in opposite directions. The magnetic field inside and outside the coaxial cable is determined by using Ampère's law. The magnetic field inside...
In the simplest form, a coaxial cable can be represented by two long hollow concentric cylinders in which the current flows in opposite directions. The magnetic field inside and outside the coaxial cable is determined by using Ampère's law. The magnetic field inside...