A Multi-Resolution Fast Filter Bank for Spectrum Sensing in Military Radio Receivers

Smitha, K. G.; Vinod, A. P.

doi:10.1109/tvlsi.2011.2151214

Cited by 28 publications

(27 citation statements)

References 12 publications

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“…It is seen that the phase decomposition structure in Figure 3 by exploiting the polyphase property of filter banks makes the PFB-based sensing be implemented without the penalty of increased complexity, because the M channel filters can be implemented at the cost of one low-pass filter. Recent development of the filter bank based sensing architecture with low implementation complexity can refer to [55,56]. In practice, the value of the prototype length L M should be cautiously chosen and is a compromise between performance and complexity.…”

Section: Discussionmentioning

confidence: 99%

“…As a result, the proposed PFB-based sensing scheme can be implemented by a simple energy detector with desirable sensing performance and minimum overhead. Recent development of the filter bank based sensing architecture with low implementation complexity can refer to [55,56]. Besides the acceptable complexity, two limitations of the PFB in terms of implementation are discussed in the succeeding text:…”

Section: Discussionmentioning

confidence: 99%

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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%

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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“…This class of filter bank has better frequency response such as high attenuation, narrow transition bandwidth at the cost of slightly higher complexity than that of FFT. Due to these advantages, it is widely used in music signal processing, cognitive radio, multi-standard receiver, and so on [8,9,10]. For a L-stage FFB, it can realize N ¼ 2 L channels.…”

Section: Fast Filter Bank (Ffb)mentioning

confidence: 99%

Baseband signal processing of digital phosphor technology with high accuracy

Hao

Wang

Pei

et al. 2016

IEICE Electron. Express

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A high-accuracy baseband signal processing system of digital phosphor technology for real-time spectrum analysis is proposed based on fast filter bank (FFB). The modular instruments based platform is utilized to verify the performance of the proposed scheme implemented with fieldprogrammable gate array (FPGA) module. With the single-tone signal as a test signal, the experimental results show that the proposed scheme can improve the accuracy of the real-time spectrum analysis at the cost of slightly higher complexity than that of fast Fourier transform (FFT) based scheme.

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“…In addition, special issues have been addressed that concern the application of filter banks in spectrum sensing [20,21]. Moreover, in [22,23], efficient implementations of filter bank sensors are presented.…”

Section: Introductionmentioning

confidence: 99%

Elaborate analysis and design of filter-bank-based sensing for wideband cognitive radios

Μαλιάτσος

Adamis

Kanatas

2014

EURASIP J. Adv. Signal Process.

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The successful operation of a cognitive radio system strongly depends on its ability to sense the radio environment. With the use of spectrum sensing algorithms, the cognitive radio is required to detect co-existing licensed primary transmissions and to protect them from interference. This paper focuses on filter-bank-based sensing and provides a solid theoretical background for the design of these detectors. Optimum detectors based on the Neyman-Pearson theorem are developed for uniform discrete Fourier transform (DFT) and modified DFT filter banks with root-Nyquist filters. The proposed sensing framework does not require frequency alignment between the filter bank of the sensor and the primary signal. Each wideband primary channel is spanned and monitored by several sensor subchannels that analyse it in narrowband signals. Filter-bank-based sensing is proved to be robust and efficient under coloured noise. Moreover, the performance of the weighted energy detector as a sensing technique is evaluated. Finally, based on the Locally Most Powerful and the Generalized Likelihood Ratio test, real-world sensing algorithms that do not require a priori knowledge are proposed and tested.

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A Multi-Resolution Fast Filter Bank for Spectrum Sensing in Military Radio Receivers

Cited by 28 publications

References 12 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

Baseband signal processing of digital phosphor technology with high accuracy

Elaborate analysis and design of filter-bank-based sensing for wideband cognitive radios

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