Estimation of the Spectrum Sensing for the Cognitive Radios: Test Analysing Using Kalman Filter
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Summary
This paper proposes an algorithm that examined the impact of the mobility of a secondary user to determine the parameters that affect the spectrum sensing in cognitive radio networks.
- Type
- article
- Published
- 2015-05-19
- Cited by
- 20
- References
- 45
- OpenAlex
- https://openalex.org/W307303469
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:26905767
Keywords
Cognitive radio, Computer science, Spectrum (functional analysis), Kalman filter, Cognition
References
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- MIMO-OFDM Wireless Communications with MATLAB
- Wireless Communications
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- Table of Integrals, Series, and Products
- Kalman filter recipes for real-time image processing
- Dynamic Optimization of Feedforward Automatic Gauge Control Based on Extended Kalman Filter
- Valence-state speciation of sulfur by x-ray fluorescence spectometry and Kalman filtering
- Positioning in ad hoc sensor networks
- Filtering in Finance
- Dynamic Spectrum Sharing for OFDMA-Based Multi-hop Cognitive Radio Networks with Priority
- On the Energy Detection of Unknown Signals Over Fading Channels
- Primary-user mobility impact on spectrum sensing in Cognitive Radio networks
- SNR-based weighted cooperative spectrum sensing in cognitive radio networks
- Scalable Localization with Mobility Prediction for Underwater Sensor Networks
- Multi-sensor optimal information fusion Kalman filter
- Impact of mobility on spectrum sensing in cognitive radio networks
- Estimation of atmospheric boundary layer using Kalman filter technique
- Some integrals involving the QM function (Corresp.)
- Doppler utilised Kalman estimation (DUKE) of ionospheric delay for satellite navigation
Cited by
- Predicting the Probability of Spectrum Sensing with LMS Process in Heterogeneous LTE Networks
- Improved local spectrum sensing in cluttered environment using a simple recursive estimator
- A pth order moment based spectrum sensing for cognitive radio in the presence of independent or weakly correlated Laplace noise
- Predicting the primary signal sensing for cognitive radio users using an alpha-beta filter
- Game-based secure sensing for the mobile cognitive radio network
- Advanced Multiresolution Wavelet Based Wideband Spectrum Sensing Technique for Cognitive Radio
- Enhancing the Performance of Spectrum Mobility in Cognitive Radio Local Area Networks Using KF-ABF-SRE Estimators
- Spectrum Sensing with VSS-NLMS Process in Femto/Macro-cell Environments
- Identify the Primary Signal Buried Under Impulsive Noise Channel in Cognitive Radio Networks Using MAF-KF-NPD
- Analysing Primary Signal Sensing Test in Cognitive Radio Networks Using an Alpha-Beta Filter and a Neyman-Pearson Detector
- Performance Analysis of Free Space Optical Networks Using the Beta-Average Recursive Estimator
- Outdoor Alzheimer’s Patients Tracking Using an IoT System and a Kalman Filter Estimator
- Digital Energy Sensing Algorithm for Primary Signal Cognitive Radio Networks
- Multi-Path Hybrid Spectrum Sensing in Cognitive Radio
- Embedded System Prototype to Fight Covid-19 Pandemic Contamination with Less Cost
- IOT-5G USER TRACKING IN A 5G NETWORK USING 60 GHZ MM-WAVES BASED ON AN ABF-ED ALGORITHMS FOR A CLUTTERED INDOOR ENVIRONMENT
- Improved Primary Signal Sensing at the Frequency of 433 MHz using MAF-KF-NPD Algorithms with the Arduino Controller in an Experimental Scenario
- WIRELESS LAN FOR IOT 5G APPLICATIONS IN A CONGESTED INDOOR ENVIRONMENT: IMPROVED PRIMARY SIGNAL SENSING AT MILLIMETER-WAVE V-BAND [40 – 75 GHZ]
- Improved hybrid spectrum sensing technique in cognitive radio communication system
- Cognitive link adaptation via modulation scheme classification in narrowband networks under AWGN and SUI channel conditions
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