Volume-based method for spectrum sensing
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کد پروژه: 25363
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It is recently shown that algorithms derived from random matrix theory(RMT) can provide superior performance for spectrum sensing, which corresponds to the task of detecting the presence of primary user sincognitive radio. Thees sence of the RMT-based methods is to utilize the distribution of extremal eigenvalues of the received signal sample covariance matrix (SCM), namely, the Tracy–Widom(TW) distribution.
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