Successive Linear Approximation VBI for Joint Sparse Signal Recovery and Dynamic Grid Parameters Estimation

1 code implementation • 18 Jul 2023 • Wenkang Xu, An Liu, Bingpeng Zhou, MinJian Zhao

To overcome these drawbacks, we first propose a successive linear approximation VBI (SLA-VBI) algorithm that can provide Bayesian estimation of both sparse signals and dynamic grid parameters.

Bayesian Inference

Joint Scattering Environment Sensing and Channel Estimation Based on Non-stationary Markov Random Field

no code implementations • 6 Feb 2023 • Wenkang Xu, Yongbo Xiao, An Liu, Ming Lei, MinJian Zhao

A location domain channel modeling method is proposed based on the position of targets and scatterers in the scattering environment, and the resulting radar and communication channels exhibit a two-dimensional (2-D) joint burst sparsity.

Bayesian Inference Position

Joint Scattering Environment Sensing and Channel Estimation for Integrated Sensing and Communication

no code implementations • 3 Feb 2023 • Wenkang Xu, Yongbo Xiao, An Liu, MinJian Zhao

A location domain channel modeling method is proposed based on the position of targets and scatterers in the scattering environment, and the resulting radar and communication channels exhibit a partially common sparsity.