A study on the application of wavelet packet transforms to Cognitive Radio spectrum estimation

Ariananda, Dyonisius Dony; Лакшманан, М.; Nikookar, H.

doi:10.1109/crowncom.2009.5189426

Cited by 11 publications

(19 citation statements)

References 2 publications

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“…The use of finite impulse response (FIR) wavelet filter bank for spectrum sensing is outlined in [26] and it has been shown that the results are comparable with existing power estimation techniques. Since the sensing circuit proposed in [26], uses scalar wavelet FIR filters, its implementation is possible by utilizing wavelet-based CR receiver (demodulator) at no additional hardware circuitry. Multiwavelet FIR filter-bankbased spectrum sensing is proposed in this section which has not been addressed in the previous works.…”

Section: Related Work and Motivationmentioning

confidence: 73%

“…This is not common in any conventional system and hence its successful implementation is a crucial task [27]. Considerable research has been done in this area and numerous algorithms and architectures are available in literature [26][27][28][29][30][31][32][33][34][35][36][37]. The existing research results prove that spectrum sensing can be implemented in two stages-preliminary or coarse sensing at the physical layer and fine sensing at the MAC layer [28].…”

Section: Spectrum Sensing With Multifiltersmentioning

confidence: 99%

“…As multiwavelets provide better results in feature extraction and signal denoising compared to scalar wavelets, the multiwavelet spectrum estimator can outperform scalar wavelet-based spectrum detector described in [26].…”

Section: Advantages Of Mwpm For Crmentioning

confidence: 99%

“…The detailed performance analysis of various filter-bank-based spectrum sensing is presented in [29]. Wavelet filter bank-based-sensing is discussed in [26,30]. A wavelet packet-based energy detector using infinite Impulse Response (IIR) scalar wavelet filters is described in [30].…”

Section: Related Work and Motivationmentioning

confidence: 99%

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Spectrum-Efficient Cognitive Radio Transceiver Using Multiwavelet Filters

Mathew

Premkumar

Madhukumar

2012

ISRN Communications and Networking

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Cognitive radio (CR) transceiver that can offer adequate data rate and multiuser support for future wireless networks is a promising technology for reliable and spectrum-efficient mobile communication. Orthogonal frequency division multiplexing (OFDM) and scalar wavelet based schemes have been proposed as physical layer techniques for CR. This paper proposes multiwavelet packetbased multicarrier multiple-access scheme as an equally promising candidate for multi-user CR networks and using existing orthonormal multiwavelets, the performance of the proposed system is evaluated. It is shown that the error performance of the proposed system under frequency and phase offset conditions is comparable with existing schemes.

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Section: Related Work and Motivationmentioning

confidence: 73%

Section: Spectrum Sensing With Multifiltersmentioning

confidence: 99%

Section: Advantages Of Mwpm For Crmentioning

confidence: 99%

Section: Related Work and Motivationmentioning

confidence: 99%

See 2 more Smart Citations

Spectrum-Efficient Cognitive Radio Transceiver Using Multiwavelet Filters

Mathew

Premkumar

Madhukumar

2012

ISRN Communications and Networking

View full text Add to dashboard Cite

show abstract

“…Wavelet-based ED is flexible, able to deal with both narrowband and wideband sources in variable channel conditions, and more attractive than periodogram and Welch approaches [4]. WPT recursively decomposes the spectrum into different subbands and provides time-frequency resolution trade-offs.…”

Section: System Descriptionmentioning

confidence: 99%