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Wireless Personal Communications
Erschienen in: Wireless Personal Communications 1/2020

20.06.2020

Improved Spectrum Sensing Schemes Using Prewhitening and Weights Under Spatially Correlated Noise

verfasst von: Sikandar Kumar, Subha P. Eswaran

Erschienen in: Wireless Personal Communications | Ausgabe 1/2020

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Abstract

Conventional spectrum sensing (SS) schemes in a multiantenna cognitive radio utilize matrix-inverse based prewhitening to decorrelate the spatially correlated received signals. However, the improved SS schemes can be proposed by efficiently exploiting the spatial correlation information. In this paper, two detectors—weighted cross-correlation absolute value detector (WCCAVD) and weighted energy detector (WED), are proposed by exploiting the spatial correlation of noise. It is shown that in the presence of high spatial correlation and low signal-to-noise ratio, the proposed WCCAVD and WED outperform the conventional cross-correlation absolute value detector and energy detector (ED), respectively, by more than 1 dB. For the spatial correlation below 0.5, both the proposed detectors are shown to have comparable performance with respect to the corresponding conventional detectors. The analytical expressions for the decision threshold, the false-alarm and the detection probabilities of the proposed detectors are derived. The analytical results are validated by Monte-Carlo simulations.
Vorheriger Artikel Performance Analysis of Modulation Recognition in Multipath Fading Channels using Pattern Recognition Classifiers
Nächster Artikel Design of a Tri-band Patch Antenna with Back Reflector for Off-Body Communication

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Fußnoten
1
Channel can also assumed to be spatially correlated in a multiantenna CR system. Other than this, the noiseless received signals and noise signals can also be assumed to be correlated in the time domain. In this paper, we are interested in obtaining the improved SS schemes by assuming only the noise to be spatially correlated.
 
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Metadaten
Titel
Improved Spectrum Sensing Schemes Using Prewhitening and Weights Under Spatially Correlated Noise
verfasst von
Sikandar Kumar
Subha P. Eswaran
Publikationsdatum
20.06.2020
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 1/2020
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-020-07565-y

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