Abstract:
In this letter, we derive the exact joint probability density function (pdf) of the amplitude and phase of the product of two correlated non-zero mean complex Gaussian ra...Show MoreMetadata
Abstract:
In this letter, we derive the exact joint probability density function (pdf) of the amplitude and phase of the product of two correlated non-zero mean complex Gaussian random variables with arbitrary variances. This distribution is useful in many problems, for example radar and communication systems. We determine the joint pdf in terms of an infinite summation of modified Bessel functions of the first and second kinds, which generalizes the existing results. The truncation error is also studied when a truncated sum is employed. Finally, we evaluate the derived expressions through numerical experiments.
Published in: IEEE Signal Processing Letters ( Volume: 27)
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- IEEE Keywords
- Index Terms
- Random Variables ,
- Complex Gaussian ,
- Gaussian Random Variables ,
- Complex Gaussian Random Variables ,
- Probability Density Function ,
- Numerical Experiments ,
- Infinite Series ,
- Modified Bessel Function ,
- Joint Probability Density Function ,
- Truncation Error ,
- Non-zero Mean ,
- Joint Pdf ,
- Special Case ,
- Monte Carlo Simulation ,
- Numerical Results ,
- Signal Processing ,
- Imaginary Part ,
- Independent Random Variables
- Author Keywords
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Random Variables ,
- Complex Gaussian ,
- Gaussian Random Variables ,
- Complex Gaussian Random Variables ,
- Probability Density Function ,
- Numerical Experiments ,
- Infinite Series ,
- Modified Bessel Function ,
- Joint Probability Density Function ,
- Truncation Error ,
- Non-zero Mean ,
- Joint Pdf ,
- Special Case ,
- Monte Carlo Simulation ,
- Numerical Results ,
- Signal Processing ,
- Imaginary Part ,
- Independent Random Variables
- Author Keywords