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Spectrum sensing is one of the key technologies to realize dynamic spectrum access in cognitive radio systems, especially for the next generation mobile systems. In this paper, the OFDM signal is sensed using a wide-band cognitive radio system. A new adaptive threshold algorithm is proposed for the Discrete Wavelet Packet Transform (DWPT) and Welch's energy detection methods to illustrate the trade-off...
Spectrum sensing is one of key technologies in cognitive radio to obtain radio environment knowledge. However, the regular correlator detector suffers from the inference of multipath fading channel on the primary signal. In this paper we propose a theoretically simple, yet effective and implementation-friendly spectrum sensing scheme called multi-peak values (MPV) detector. Based on the criterion...
In this paper, we propose to study the spectrum awareness also called classification of various signals enabling the OFDM-based cognitive radio systems (CRS). In order to do so, some key properties relevant to the detection of the OFDM-based third-Generation Partnership Project Long Term Evolution (3GPP LTE) and digital video broadcast for terrestrial TV (DVB-T) signals as well as programme-making...
In this paper, a spectrum sensing approach for multiple-antenna cognitive radio networks will be proposed. Specifically, we will apply dimension estimation based spectrum sensing technique using minimum description length (MDL) criteria to sense the presence of primary users signals. Therefore, we consider a cognitive radio network with cognitive user equipped with M received antennas and K (M >...
In this paper, we will derive closed-form expressions of false alarm probabilities for a given threshold for the dimension estimation-based detector (DED) using Akaike information criterion (AIC) and the minimum description length (MDL) criterion. Specifically, the DED algorithm will be formulated as a binary hypothesis test using AIC and MDL curves. Based on the proposed statistic test, we will express...
Localized spectrum sensing is an alternate for database centric approaches to solve secondary use of spectrum in cognitive radios. This can be carried out by using collaborative spectrum sensing where larger amount of small devices is utilized for local spectrum sensing. This paper describes an mobile device scale implementation of multi-mode, multi-band spectrum sensor for cognitive radio. Cyclostationary...
Spectrum sensing is one of the most important and challenging task in cognitive radio network. Its main functionality is to detect the presence of primary user signal and to be cognizant about its surrounding radio spectrum. In this paper, perfomrance of single node spectrum sensing based on energy and cyclostationary feature detection algorithms are compared for different signal to noise ratio (SNR)...
In this paper, we propose a new concept of spectrum sensing techniques based on a joint time-frequency detection of primary users. In this new approach, we aim at detecting the presence of the PU in frequency and in time as well. The proposed technique based on an algebraic detection of the spectrum is compared to one of the most well known tool in time frequency analysis tools: the Wigner Ville Distribution...
In this paper, we consider spectrum sensing of DVB-T signals in different fading environments. We compare state-of-the-art detectors including detectors based on pilot subcarriers, as well as detectors for general OFDM signals that exploit the correlation structure incurred by the cyclic prefix. Energy detection is also included for comparison. We show numerically that the choice of detector depends...
In this paper, we will provide a straightforward classification of some spectrum sensing strategies derived at Eurecom attempting to show the diversity and advantages of these spectrum sensing techniques. Specifically, two low complexity blind sensing algorithms were developed to detect spectrum holes in the primary user's bands: the distribution analysis detector (DAD) and the algebraic detector...
Cognitive radio systems are perspective solution for effective utilization of frequency spectrum. Essential feature of cognitive radio devices is scanning of certain frequency band and consequent decision making whether this band is used by primary user or not. In this paper several methods for detecting signals of analog and digital TV broadcasts are described and simulation results are presented...
This paper deals with real time implementation of spectrum sensing method used for detection in TV bands. The most common and simplest method of spectrum sensing is based on the energy detection principle (using Periodogram, Bartlett and Welch methods). Intermediate frequency band signal of TV receiver was used in real-time implementation. The main algorithm was implemented on the Memec Development...
Spectrum sensing is a key technical challenge for the cognitive radio (CR) technology which allows it to access the spectrum of the licensed systems without causing interference to them. It is well known that cyclostationarity detectors have a great advantage of the robustness of noise uncertainty which significantly degrades the performance and makes its implementation difficult in energy detectors...
This paper deals with real time experiments with spectrum sensing in TV bands. First, different spectrum sensing algorithms suitable for fast signal detection of digital TV signals are reviewed. The performance of several selected detectors has been evaluated on data of real TV transmission in Brno region. Three different implementations have been setup - first using the Universal Software Radio Peripheral...
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