Abstract
A concise expectation propagation (EP)-based message passing algorithm (MPA) is derived for the general measurement channel. By neglecting some high-order infinitesimal terms, the EP-MPA is proven to be equivalent to the generalized approximate message passing (GAMP), which exploits central limit theorem and Taylor expansion to simplify the belief propagation process. Furthermore, for additive white Gaussian noise measurement channels, EP-MPA is proven to be equivalent to the AMP. Such intrinsic equivalence between EP and GAMP/AMP offers a new insight into GAMP and AMP via a unified message passing rule for non-linear processing andmay provide clues toward building new MPAs in solving more general non-linear problems.
| Original language | English |
|---|---|
| Article number | 190702247 |
| Pages (from-to) | 8264-8269 |
| Number of pages | 6 |
| Journal | IEEE Transactions on Vehicular Technology |
| Volume | 68 |
| Issue number | 8 |
| DOIs | |
| Publication status | Published - Aug 2019 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2021 Georg Thieme Verlag. All rights reserved.
ASJC Scopus Subject Areas
- Automotive Engineering
- Aerospace Engineering
- Computer Networks and Communications
- Electrical and Electronic Engineering
Keywords
- Approximate message passing (AMP)
- Compressed sensing.
- Expectation Propagation (EP)
- Generalized AMP