DocumentCode
1790682
Title
Analysis of degrees of freedom of wideband random multipath fields observed over time and space windows
Author
Bashar, Farhana ; Akramus Salehin, S.M. ; Abhayapala, Thushara D.
Author_Institution
Res. Sch. of Eng., Australian Nat. Univ., Canberra, ACT, Australia
fYear
2014
fDate
June 29 2014-July 2 2014
Firstpage
45
Lastpage
48
Abstract
In multipath systems, available degrees of freedom can be considered as a key performance indicator, since the channel capacity grows linearly with the available degrees of freedom. However, a fundamental question arises: given a size limitation on the observable region, what is the intrinsic number of degrees of freedom available in a wideband random multipath wavefield observed over a finite time interval? In this paper, we focus on answering this question by modelling the wavefield as a sum of orthogonal waveforms or spatial orders. We show that for each spatial order, (i) the observable wavefield is band limited within an effective bandwidth rather than the given bandwidth and (ii) the observation time varies from the given observation time. These findings show the strong coupling between space and time as well as space and bandwidth. In effect, for spatially diverse multipath wavefields, the classical degrees of freedom result of time-bandwidth product does not directly extend to time-space-bandwidth product.
Keywords
channel capacity; multipath channels; wireless channels; channel capacity; degrees-of-freedom analysis; effective bandwidth; finite time interval; given bandwidth; given observation time; multipath systems; observable region; observable wavefield; orthogonal waveforms; size limitation; spatial order; spatially-diverse multipath wavefield; time-space-bandwidth product; wavefield modelling; wideband random multipath wavefield; Signal to noise ratio; Time-domain analysis; Time-frequency analysis; Wideband; Wireless communication; Random multipath; degrees of freedom; signal to noise ratio; spatial diversity;
fLanguage
English
Publisher
ieee
Conference_Titel
Statistical Signal Processing (SSP), 2014 IEEE Workshop on
Conference_Location
Gold Coast, VIC
Type
conf
DOI
10.1109/SSP.2014.6884571
Filename
6884571
Link To Document