Enhancing localization accuracy of collaborative cognitive radio users by internal noise mitigation

Sabyasachi Chatterjee (), Prabir Banerjee () and Mita Nasipuri ()
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Sabyasachi Chatterjee: Heritage Institute of Technology
Prabir Banerjee: Heritage Institute of Technology
Mita Nasipuri: Jadavpur University

Telecommunication Systems: Modelling, Analysis, Design and Management, 2021, vol. 76, issue 2, No 3, 187-206

Abstract: Abstract Location information of mobile primary users is one of the essential requirements for an underlay cognitive radio user to utilize the licensed spectrum efficiently. The performance of various location-based applications such as global navigation satellite system, device to device communication in dense urban 5G network also depends on the localization accuracy. In this paper, a collaborative localization scheme based on received signal strength has been proposed. The weighted centroid localization algorithm has been applied in the proposed network scenario to compute location coordinates of the mobile primary user. Since the channel noise effects are random and unavoidable, this paper has focused on the mitigation of the internal noise by designing a suitable reconfigurable FIR filter after the demodulator stage of a cognitive radio receiver circuit to improve precision of signal measurement during primary user localization. The localization error rate has come down to (1.3–1.62) % after internal noise mitigation. The enhancement in the localization accuracy improves the overall spectrum utilization efficiency and reduces the miss detection and false detection probabilities in the proposed underlay network.

Keywords: Cognitive radio user; Collaborative localization; FIR filter; Internal noise mitigation; Mobile primary user; Location coordinates; Underlay cognitive radio network; Weighted centroid localization (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/s11235-020-00708-3

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