Abstract:
In this letter, we consider the issue of detecting signal of interest under interference. Two multi-antenna based spectrum sensing algorithms are presented given the know...Show MoreMetadata
Abstract:
In this letter, we consider the issue of detecting signal of interest under interference. Two multi-antenna based spectrum sensing algorithms are presented given the knowledge of interference's statistical characteristics. The first method is designed to neutralize the impacts of interference so that the generalized likelihood ratio test (GLRT) based method for interference-free environment can be used. In the second method, an optimization problem is formulated based on the GLRT concept and an approximate solution is derived in closed-form under low signal-to-interference ratio (SIR) condition. Numerical results are provided, which demonstrate the superiority of the proposed schemes compared with existing methods.
Published in: IEEE Communications Letters ( Volume: 24, Issue: 7, July 2020)
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- IEEE Keywords
- Index Terms
- Generalized Likelihood Ratio Test ,
- Statistical Features ,
- Approximate Solution ,
- Signal Of Interest ,
- Signal-to-interference Ratio ,
- Simulation Results ,
- Eigenvalues ,
- Covariance Matrix ,
- Probability Density Function ,
- Detection Performance ,
- Additive Noise ,
- Optimal Solution Of Problem ,
- Hermitian Matrix ,
- Artificial Noise ,
- Gaussian Random Vector ,
- Hypothesis Testing Problem ,
- Empirical Covariance Matrix
- Author Keywords
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Generalized Likelihood Ratio Test ,
- Statistical Features ,
- Approximate Solution ,
- Signal Of Interest ,
- Signal-to-interference Ratio ,
- Simulation Results ,
- Eigenvalues ,
- Covariance Matrix ,
- Probability Density Function ,
- Detection Performance ,
- Additive Noise ,
- Optimal Solution Of Problem ,
- Hermitian Matrix ,
- Artificial Noise ,
- Gaussian Random Vector ,
- Hypothesis Testing Problem ,
- Empirical Covariance Matrix
- Author Keywords