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Sparse signal detection for space shift keying using the Monte Carlo EM algorithm

journal contribution
posted on 2016-07-01, 00:00 authored by Jinho ChoiJinho Choi
In order to detect space shift keying (SSK) signals, we propose to use the Monte Carlo (MC) expectation maximization (EM) algorithm in this paper. First, we formulate the EM algorithm for the maximum likelihood detection of SSK signals. Then, we derive a Gibbs sampler to approximate the E-step. Through simulation results, we can see that the performance of the derived MCEM algorithm is better than that of the orthogonal matching pursuit algorithm, which was adopted to detect SSK signals with low complexity by Yu et al.

History

Journal

IEEE signal processing letters

Volume

23

Pagination

974-978

Location

Piscataway, N.J.

ISSN

1070-9908

Language

eng

Publication classification

C1.1 Refereed article in a scholarly journal

Copyright notice

2016, IEEE

Issue

7

Publisher

Institute of Electrical and Electronics Engineers