Sökning: onr:"swepub:oai:DiVA.org:liu-70316" >
Multipath channel i...
Multipath channel identification by using global optimization in ambiguity function domain
-
- Burak Guldogan, Mehmet (författare)
- Linköpings universitet,Institutionen för systemteknik,Tekniska högskolan
-
- Arikan, Orhan (författare)
- Bilkent University
-
(creator_code:org_t)
- Elsevier, 2011
- 2011
- Engelska.
-
Ingår i: Signal Processing. - : Elsevier. - 0165-1684 .- 1872-7557. ; 91:11, s. 2647-2660
- Relaterad länk:
-
http://repository.bi...
-
visa fler...
-
https://urn.kb.se/re...
-
https://doi.org/10.1...
-
visa färre...
Abstract
Ämnesord
Stäng
- A new transform domain array signal processing technique is proposed for identification of multipath communication channels. The received array element outputs are transformed to delay-Doppler domain by using the cross-ambiguity function (CAF) for efficient exploitation of the delay-Doppler diversity of the multipath components. Clusters of multipath components can be identified by using a simple amplitude thresholding in the delay-Doppler domain. Particle swarm optimization (PSO) can be used to identify parameters of the multipath components in each cluster. The performance of the proposed PSO-CAF technique is compared with the space alternating generalized expectation maximization (SAGE) technique and with a recently proposed PSO based technique at various SNR levels. Simulation results clearly quantify the superior performance of the PSO-CAF technique over the alternative techniques at all practically significant SNR levels.
Nyckelord
- Cross ambiguity function (CAF)
- Particle swarm optimization (PSO)
- Channel identification
- Maximum likelihood (ML)
- TECHNOLOGY
- TEKNIKVETENSKAP
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
Hitta via bibliotek
Till lärosätets databas