2009
DOI: 10.1016/j.jmva.2008.06.007
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Diagonal distribution of a complex non-central Wishart matrix: A new trivariate non-central chi-squared density

Abstract: a b s t r a c tThis paper derives the joint density of a particular trivariate non-central χ 2 distribution corresponding to the diagonal elements of a 3 × 3 complex non-central Wishart matrix.This distribution is important for a number of practical statistical signal processing applications, including synthetic aperture radar, extra-solar planet detection, and multiantenna wireless communications. The density expression is in the form of an infinite series representation which converges rapidly and is easy to… Show more

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Cited by 8 publications
(7 citation statements)
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“…It is easy to see that results (35) and (44) are immediate from the result (55), for the choices L = 1 N and ζ = 0, and L = 1 N and ξ = 1 N , respectively in (55).…”
Section: Pastur Equation For Nc-cwementioning
confidence: 64%
See 2 more Smart Citations
“…It is easy to see that results (35) and (44) are immediate from the result (55), for the choices L = 1 N and ζ = 0, and L = 1 N and ξ = 1 N , respectively in (55).…”
Section: Pastur Equation For Nc-cwementioning
confidence: 64%
“…For instance, consider the ξ jk = δ jk . For this choice the Pastur equation (35) yields the resolvent…”
Section: Pastur Equation For Cwementioning
confidence: 99%
See 1 more Smart Citation
“…a bivariate integral is obtained for the cdf of Jensen's bivariate chi-square distribution (see also [5] and [17]). A survey on formulas for the central 2 ( , ) p R  -distribution and some similar distributions is found in the appendix of [3]. [7] or [9] (and also [11]…”
Section: More General Integrals Overmentioning
confidence: 99%
“…( 1) p  -variate integral representation in section 5 is suitable for feasible computations for 3 p  and might be preferred for a numerical evaluation at least for cases with 2 1 k a  or for the here not included case with one vanishing correlation.…”
Section: ( ) (mentioning
confidence: 99%