Design of Multistandard Channelization Accelerators for Software Defined Radio Handsets

Michael, Navin; Vinod, A. P.; Moy, Christophe; Palicot, Jacques

doi:10.1109/tsp.2011.2161301

Cited by 8 publications

(5 citation statements)

References 36 publications

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“…In [48,57], the authors proposed a reconfigurable filter bank that can reuse the same hardware to process multiple standards while ensuring low overhead. More future works are needed to realize the multiband sensing for multi-standard signals with low complexity [58]. Besides, the proposed polyphase implementation can be extended by applying the flexible filter banks based on fast-convolution [59].…”

Section: Discussionmentioning

confidence: 99%

Polyphase filter bank based multi‐band spectrum sensing in cognitive radio systems

Zhang

Ruyet

Roviras

2014

Int J Communication

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Spectrum sensing has been identified as an essential enabling functionality for cognitive radio (CR) systems to guarantee that CR users could share the spectrum resource with licensed users on a non-interfering basis. Recently, simultaneous sensing of multi-band licensed user activity has been attracting more and more research interest. Generally, the multi-band sensing is implemented through energy detection by estimating power spectral density. In this paper, we investigate a multi-band energy detection architecture based on different polyphase filter banks (PFBs), which aim to reliably sense multiple active bands by exploiting the low power leakage property of PFB. We have theoretically derived the closed-form expressions of detection probability and false alarm probability for PFBs and fast Fourier transform based detectors, respectively. Theoretical detection thresholds are therefore computed, which ensures a fair comparison for different detectors. Final experimental results are presented to verify our theoretical analysis and demonstrate that PFBs based sensing architecture exhibits better sensing performance than the conventional FFT.Spectrum sensing on a single frequency band has a relatively rich literature [29,30]. However, the literature of multi-band sensing that monitors multiple frequency bands simultaneously is very limited. The basic concept of multi-band sensing is to firstly estimate the power spectral density (PSD) and then power detection (which is simple and can locate spectrum occupancy information quickly) is applied in the frequency domain based on the observed power spectrum [31][32][33]. A spectrum sensing algorithm for wideband CR systems was proposed in [34] by exploiting the sensed spectrum discontinuity properties. In [35], a wideband dual-stage sensing technique: a coarse and a fine spectrum sensing architecture was proposed. These two sensing stages collaborate with each other to enhance the accuracy of spectrum sensing performance. In [36], three widely used spectrum estimation methods, weighted overlapped segment averaging approach, multi-taper spectrum estimator, and multiple signal classification algorithm, were introduced and compared for wideband detection. In [37], a novel approach called segmented periodogram for wideband spectrum segmentation was proposed. The proposed scheme is based on the posterior expectation of the piece-wise flat realizations of the underlying signal spectrum, which is obtained using the reversible jump Markov chain Monte Carlo technique. The authors in [38] considered joint decisions over multiple frequency bands. The spectrum sensing problem is formulated as a class of optimization problems in interference limited cognitive radio networks. The theoretical analysis of spectrum sensing using multitaper spectrum was investigated in [39], where analytic detection probabilities have been derived for multitaper-based detection schemes, which is demonstrated to be more robust to the noise uncertainty compared with energy-based detectors. In [40], the aut...

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Section: Discussionmentioning

confidence: 99%

Polyphase filter bank based multi‐band spectrum sensing in cognitive radio systems

Zhang

Ruyet

Roviras

2014

Int J Communication

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“…Different output bandwidths are required to deal with more complicated situation in real environments where signals with different unknown bandwidths coexist. The digital channelization receiver architecture can be extended to isolate channels with different bandwidths based on a multistage DFT filter [ 27 , 28 ].…”

Section: The Proposed Methodsmentioning

confidence: 99%

A Channelization-Based DOA Estimation Method for Wideband Signals

Guo

Zhang

Lin

et al. 2016

Sensors

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Abstract:In this paper, we propose a novel direction of arrival (DOA) estimation method for wideband signals with sensor arrays. The proposed method splits the wideband array output into multiple frequency sub-channels and estimates the signal parameters using a digital channelization receiver. Based on the output sub-channels, a channelization-based incoherent signal subspace method (Channelization-ISM) and a channelization-based test of orthogonality of projected subspaces method (Channelization-TOPS) are proposed. Channelization-ISM applies narrowband signal subspace methods on each sub-channel independently. Then the arithmetic mean or geometric mean of the estimated DOAs from each sub-channel gives the final result. Channelization-TOPS measures the orthogonality between the signal and the noise subspaces of the output sub-channels to estimate DOAs. The proposed channelization-based method isolates signals in different bandwidths reasonably and improves the output SNR. It outperforms the conventional ISM and TOPS methods on estimation accuracy and dynamic range, especially in real environments. Besides, the parallel processing architecture makes it easy to implement on hardware. A wideband digital array radar (DAR) using direct wideband radio frequency (RF) digitization is presented. Experiments carried out in a microwave anechoic chamber with the wideband DAR are presented to demonstrate the performance. The results verify the effectiveness of the proposed method.

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“…Studies into front end efficiency [17], savings in the network layer [18,19], transmission protocols 20 and radio resource management [21] all contribute to energy efficiency.…”

Section: Green Radio Requirements For Wireless Rural Broadband Accessmentioning

confidence: 99%

HopScotch-a low-power renewable energy base station network for rural broadband access

McGuire

Brew²,

Darbari

et al. 2012

J Wireless Com Network

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The provision of adequate broadband access to communities in sparsely populated rural areas has in the past been severely restricted. In this article, we present a wireless broadband access testbed running in the Scottish Highlands and Islands which is based on a relay network of low-power base stations. Base stations are powered by a combination of renewable sources creating a low cost and scalable solution suitable for community ownership. The use of the 5 GHz bands allows the network to offer large data rates and the testing of ultra high frequency "white space" bands provides expansive coverage whilst reducing the number of base stations or required transmission power. We argue that the reliance on renewable power and the intelligent use of frequency bands makes this approach an economic green radio technology which can address the problem of rural broadband access.

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Design of Multistandard Channelization Accelerators for Software Defined Radio Handsets

Cited by 8 publications

References 36 publications

Polyphase filter bank based multi‐band spectrum sensing in cognitive radio systems

Polyphase filter bank based multi‐band spectrum sensing in cognitive radio systems

A Channelization-Based DOA Estimation Method for Wideband Signals

HopScotch-a low-power renewable energy base station network for rural broadband access

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