Name
Title | ||
|---|---|---|
Theoretical bound on modulation classification for multiple-input multiple-output (MIMO) systems over unknown, flat fading channels |
Abstract | ||
|---|---|---|
Likelihood-based algorithms identify the modulation of the transmitted signal based on the computation of the likelihood function of received signals under different hypotheses (modulation formats). An important class of likelihood-based algorithms for modulation classification problems first treats the unknown channels as deterministic, and replaces the channels by their estimates. In this paper, a novel theoretical bound on the performance of this class of algorithms is proposed for multiple-input multiple-output (MIMO) systems over unknown, flat fading channels. The performance bound is developed from the Cramer-Rao bound (CRB) of blind channel estimation. It provides a useful benchmark against which it is possible to compare the performance of modulation classification algorithms, and is tighter than the theoretical bound derived based on perfect channel knowledge. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/CISS.2015.7086878 | CISS |
Keywords | Field | DocType |
cramer-rao bounds,mimo,modulation classification,theoretical bound,fading,signal to noise ratio,upper bound,cramer rao bound,modulation | Mimo systems,Mathematical optimization,Likelihood function,Control theory,Fading,Computer science,MIMO,Algorithm,Communication channel,Modulation,Statistical classification,Computation | Conference |
Citations | PageRank | References |
1 | 0.34 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yu Liu | 1 | 1 | 0.68 |
| Alexander M. Haimovich | 2 | 618 | 69.28 |
| Wei Su | 3 | 25 | 2.21 |
| Emmanuel Kanterakis | 4 | 1 | 0.68 |