Time-frequency methods in communications

Amin, M. G., Lindsey, A. R., Sayeed, A. M., Barbarossa, S., Tsitsvero, M., Akay, O., Boudreaux-Bartels, G. F., Sha'ameri, A. Z. and Boashash, B. (2016). Time-frequency methods in communications. In Boualem Boashash (Ed.), Time-frequency signal analysis and processing: a comprehensive reference 2nd ed. (pp. 747-791) Amsterdam, Netherlands: Academic Press. doi:10.1016/B978-0-12-398499-9.00013-3

Author Amin, M. G.
Lindsey, A. R.
Sayeed, A. M.
Barbarossa, S.
Tsitsvero, M.
Akay, O.
Boudreaux-Bartels, G. F.
Sha'ameri, A. Z.
Boashash, B.
Title of chapter Time-frequency methods in communications
Title of book Time-frequency signal analysis and processing: a comprehensive reference
Place of Publication Amsterdam, Netherlands
Publisher Academic Press
Publication Year 2016
Sub-type Research book chapter (original research)
DOI 10.1016/B978-0-12-398499-9.00013-3
Open Access Status Not yet assessed
Series EURASIP and Academic Press series in signal and image processing
Edition 2nd
ISBN 9780123984999
Editor Boualem Boashash
Chapter number 13
Start page 747
End page 791
Total pages 45
Total chapters 18
Collection year 2017
Language eng
Formatted Abstract/Summary
The wide range of potential applications of time-frequency (t, f) methods made them an important tool in most fields of science and engineering. A large number of approaches exist, depending on the application considered. Key (t, f) methodologies are presented on specific applications in this Part V of the book and illustrated using selected examples. Telecommunications is one of the key industries where (t, f) methods are already playing an important role. The topic is represented by five sections selected for this chapter, complemented by other sections in other chapters such as Sections 8.5 and 11.3. Due to possible hostile jamming, broadband communication platforms use spread spectrum technology where interference protection is achieved by interference excision. By distributing the signature of received data over a (t, f) region, it is possible to attenuate strong interferences (Section 13.1). Linear dispersion in wireless communication channels distorts the transmitted signal in both time and frequency. This is accounted for by a (t, f) scattering function. In wireless communication systems with Code Division Multiple Access (CDMA) protocol, fading and multiaccess interference can be dealt with using time-frequency processing. A (t, f) RAKE receiver is described which implements correlations in a (t, f) domain and accounts for both spectral and temporal channel variations resulting from the use of spread spectrum techniques (Section 13.2). Eigenfunctions of linear systems can be modeled by signals with a (t, f) distribution well localized in the (t, f) plane. The knowledge of the eigenfunctions of time-varying transfer functions allows optimizing the transmission strategy to take advantage of the channel dispersive properties (Section 13.3). Detection and parameter estimation of chirps in communication systems may be implemented using the fractional Fourier transform (Section 13.4). The last section focuses on the (t, f) estimation of radio-signal modulation parameters and includes a discussion on cognitive radio, quality of service and communication channels from a (t, f) perspective (Section 13.5).
Q-Index Code B1
Q-Index Status Provisional Code
Institutional Status UQ

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