Title
Distribution of Inner Product of Complex Gaussian Random Vectors and its Applications.
Abstract
Let X and Y be two independent L x 1 complex Gaussian random vectors distributed as CN (m×, σ2× IL) and CN (mY, σY2 IL), respectively, where I_L denotes the L x L identity matrix. The joint characteristic function (c.f.) of the real and imaginary parts of the inner product YH X is derived in closed form, with (·)H denoting the conjugate transpose. Based on this joint c.f., a unified analytical fra...
Year
DOI
Venue
2011
10.1109/TCOMM.2011.101011.110046
IEEE Transactions on Communications
Keywords
Field
DocType
Fading,Gaussian channels,Signal to noise ratio,Channel estimation,Binary phase shift keying,Least squares approximation,Diversity reception
Fading,Characteristic function (probability theory),Electronic engineering,Nakagami distribution,Gaussian process,Independent and identically distributed random variables,Complex normal distribution,Mathematics,Conjugate transpose,Phase-shift keying
Journal
Volume
Issue
ISSN
59
12
0090-6778
Citations 
PageRank 
References 
7
0.50
9
Authors
2
Name
Order
Citations
PageRank
Ranjan K. Mallik1111496.29
Nikos C. Sagias245339.91