Spectrum Sensing Using Principal Component Analysis

Provided by: Institute of Electrical & Electronic Engineers
Topic: Mobility
Format: PDF
In the recent past considerable research has been performed on blind signal detection techniques that exploit the covariance matrix of the signals received at a Cognitive Radio (CR). These techniques overcome the noise uncertainty problem of the Energy Detection (ED) method and can even perform better than ED for correlated signals. Contrary to the previous work where the main evaluation technique has been theoretical analysis and simulations, in this paper the authors use Software Defined Radios (SDRs) with correlated signal reception capability to evaluate the sensing performance of the existing Covariance Based Detection (CBD) techniques.

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