Spectrum Sensing for Cognitive Radio Using Hybrid Matched Filter Single Cycle Cyclostationary Feature Detector

  title={Spectrum Sensing for Cognitive Radio Using Hybrid Matched Filter Single Cycle Cyclostationary Feature Detector},
  author={Divya Joshi and Neeru Sharma and Jaskirat Singh},
  journal={International Journal of Information Engineering and Electronic Business},
Spectrum sensing is an important task in cognitive radio (CR). Matched filter technique one of the techniques employed for spectrum sensing in cognitive radio which faces the challenge of low frequency offset tolerance in very low SNR environments. Hybrid matched filter architecture is used to improve this frequency offset tolerance. But, overall even such kind of architecture results in coarse detection. In very low SNR environments, where primary user is highly mobile, the multipath profile… 

Figures from this paper

Performance analysis of HFDI computing algorithm in intelligent networks

The proposed HFDI method outperforms Divya Joshi-proposed method by 13% in terms of P D, and the P fa is also improved by 7.5%.

Novel Aninath Computation Detection Algorithm to Identify the UAV Users in 5G Networks

The authors proposed a novel Aninath computation detection algorithm to estimate the threshold dynamically with inverse covariance approach to improve the Probability of Detection (PD) and mitigate the Probabilities of false alarm (Pfa) and Probable of miss detection (Pmd) at low power levels.

A review of channel estimation and security techniques for CRNS

From the surveyed results, it is observed that the existing spectrum sensing, and prediction-based techniques consume more energy, and minimal data transmission rate for detecting the idle channel, and the end-to-end delay, energy consumption, end- to- end delay, and bandwidth are not minimized by the existing techniques.



A novel hybrid Matched Filter structure for IEEE 802.22 standard

This paper reviewed the traditional MF's (Matched Filter) properties and proposed a novel hybrid MF structure which is designed to perform spectrum sensing function in IEEE 802.22 standard and shows that this structure has advantages over other spectrum sensing methods.

Eigenvalue-based spectrum sensing algorithms for cognitive radio

New sensing methods based on the eigenvalues of the covariance matrix of signals received at the secondary users can be used for various signal detection applications without requiring the knowledge of signal, channel and noise power.

A segmented matched filter for CDMA code synchronization in systems with Doppler frequency offset

A segmented matched filter for codephase acquisition in direct sequence spread spectrum systems while conventional matched filters provide fast acquisition in the presence of high co-user noise is presented.

Addressing feasibility of cognitive radios

  • D. Cabric
  • Computer Science
    IEEE Signal Processing Magazine
  • 2008
A feasibility study of spectrum-sensing techniques using a research testbed platform for exploration and demonstration of cognitive radio systems and demonstrates practically achievable gains by exploiting multipath channel diversity through multiple antenna processing, and spatial diversity using user cooperation in a typical indoor environment.

Cooperative Sensing for Primary Detection in Cognitive Radio

This work designs a linear-quadratic (LQ) fusion strategy based on a deflection criterion for this problem, which takes into account the correlation between the nodes and shows that when the observations at the sensors are correlated, the LQ detector significantly outperforms the counting rule.

A cyclostationary feature detector

  • S. EnserinkD. Cochran
  • Computer Science
    Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers
  • 1994
A signal detector that exploits spectral correlation to determine the presence or absence of a cyclostationary signal in noise and the detector's probability of false alarm is analytically derived.

A survey of spectrum sensing algorithms for cognitive radio applications

In this paper, a survey of spectrum sensing methodologies for cognitive radio is presented and the cooperative sensing concept and its various forms are explained.

Achievable rates in cognitive radio channels

An achievable region which combines Gel'fand-Pinkser coding with an achievable region construction for the interference channel is developed, which resembles dirty-paper coding, a technique used in the computation of the capacity of the Gaussian multiple-input multiple-output (MIMO) broadcast channel.

New Cooperation-Based Channel State Acquisition Scheme for Ad Hoc Cognitive Radio Systems

By using the spectrum pool, the CR users can have more information on the spectrum compared with the case when there is no channel state sharing, and the performance of CR systems can be improved.

Cooperative Spectrum Sensing in Cognitive Radio, Part I: Two User Networks

This paper considers a two-user cognitive radio network and shows how the inherent asymmetry in the network can be exploited to increase the agility, and develops a decentralized cooperation protocol which ensures agility gain for arbitrarily large cognitive network population.