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An Off-Grid Turbo Channel Estimation Algorithm for Millimeter Wave Communications.

Lingyi Han1, Yuexing Peng2, Peng Wang3

  • 1Wireless Signal Processing and Networks (WSPN) Lab, Key Lab of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, No. 10 Xitucheng Road, Beijing 100876, China. hanlingyi@bupt.edu.cn.

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Summary
This summary is machine-generated.

This study introduces an enhanced channel estimation algorithm for millimeter wave (mmWave) communications, improving angle detection resolution by addressing off-grid problems in spatial domain quantization.

Keywords:
channel estimationmillimeter wave communicationoff-grid algorithm

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Area of Science:

  • Electrical Engineering
  • Wireless Communications
  • Signal Processing

Background:

  • Millimeter wave (mmWave) spectrum exploration is driven by bandwidth demands.
  • Massive antenna arrays and beamforming are crucial for mmWave communication to overcome propagation loss.
  • Accurate and fast channel estimation (CE) is vital for achieving array gains in mmWave systems.

Purpose of the Study:

  • To develop an enhanced channel estimation algorithm for mmWave communications that addresses the off-grid problem.
  • To improve the performance of CE by mitigating power leakage and resolution reduction caused by angle quantization.

Main Methods:

  • A novel model is proposed to formulate the off-grid problem by separating angles into integral grid and fractional off-grid parts.
  • An iterative off-grid turbo CE (IOTCE) algorithm is developed, utilizing the Turbo principle to refine CE between these parts.
  • The integral grid part is estimated using an improved turbo compressed channel sensing (ITCCS) method, incorporating soft-decoding and compressed sensing.

Main Results:

  • The proposed IOTCE algorithm effectively handles the off-grid problem in mmWave channel estimation.
  • The method significantly enhances the angle detection resolution compared to conventional approaches.
  • Monte Carlo simulations validate the superior performance of the developed algorithm.

Conclusions:

  • The developed iterative off-grid turbo CE algorithm offers a robust solution for mmWave channel estimation challenges.
  • The algorithm demonstrates superior performance in angle detection resolution, crucial for efficient mmWave communication.
  • This work contributes to advancing CE techniques for future high-frequency wireless networks.