Wavelet based channel model for OFDM systems

Jaffrot, E.

doi:10.1109/pimrc.2004.1370961

Cited by 2 publications

(1 citation statement)

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“…Extension of the work [17] to represent both time invariant and time variant systems with wavelet packets is reported in [18]. The possibility of using wavelets for modeling channels for OFDM systems is studied in [19], where the performance of wavelet based channel modeling is compared with that of Karhunen-Loeve decomposition. In [20] a method for blind maximum-likelihood channel estimation is proposed where the unknown channel time variations are decomposed using orthonormal wavelet bases.…”

Section: Modeling Wireless Channels With Wavelets As Basesmentioning

confidence: 99%

A Review of Wavelets for Digital Wireless Communication

Лакшманан

Nikookar

2006

Wireless Pers Commun

178

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Wavelets have been favorably applied in almost all aspects of digital wireless communication systems including data compression, source and channel coding, signal denoising, channel modeling and design of transceivers. The main property of wavelets in these applications is in their flexibility and ability to characterize signals accurately. In this paper recent trends and developments in the use of wavelets in wireless communications are reviewed. Major applications of wavelets in wireless channel modeling, interference mitigation, denoising, OFDM modulation, multiple access, Ultra Wideband communications, cognitive radio and wireless networks are surveyed. The confluence of information and communication technologies and the possibility of ubiquitous connectivity have posed a challenge to developing technologies and architectures capable of handling large volumes of data under severe resource constraints such as power and bandwidth. Wavelets are uniquely qualified to address this challenge. The flexibility and adaptation provided by wavelets have made wavelet technology a strong candidate for future wireless communication.

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Section: Modeling Wireless Channels With Wavelets As Basesmentioning

confidence: 99%