Affiliation:
1. Aerospace Information Research Institute Chinese Academy of Sciences Beijing China
2. National Key Laboratory on Wireless Communications University of Electronic Science and Technology of China Chengdu China
3. College of Communication Engineering Chengdu University of Information Technology Chengdu China
Abstract
AbstractThis paper, considers the channel estimation problem of the uplink low Earth orbit (LEO) satellite orthogonal frequency division multiplexing (OFDM) system. By exploiting the channel structured sparsity in the delay‐Doppler‐angle domain, the channel estimation problem is formulated as a block‐sparse signal recovery problem. The variance state propagation (VSP) framework is extended to solve such a problem. Considering that the delay, Doppler shift, and angle of departure (AoD) of each propagation path may not exactly fall on the presumed discrete grid points, an expectation maximization (EM) based parameter learning scheme in VSP to iteratively update the grid parameters is introduced. Simulation results demonstrate that the proposed approach achieves a substantial performance gain over the existing methods.
Funder
National Key Research and Development Program of China
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering