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Linear Decorrelating Detector

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Linear Decorrelating Detector

A linear decorrelating detector for user 1, graphics/030fig01.gif, is such that when correlated with the received signal r[i], it results in zero MAI [i.e., the second term in (2.10) is zero]. In particular, the linear decorrelating detector d1 for user 1 satisfies

Equation 2.11

graphics/02equ011.gif


Equation 2.12

graphics/02equ012.gif


Denote by ek a K-vector with all entries zeros except for the kth entry, which is 1. Assume that the user signature sequences are linearly independent [i.e., the matrix graphics/030fig02.gif has full column rank, rank(S) = K]. Let graphics/030fig03.gif be the correlation matrix of the user signature sequences. Then R is invertible. The following result gives the expression for the linear decorrelating detector.

Proposition 2.1: The linear decorrelating detector for user 1 is given by

Equation 2.13

graphics/02equ013.gif


Proof: It is easily verified that

Equation 2.14

graphics/02equ014.gif


Therefore, (2.11) and (2.12) hold.

The output of the linear decorrelating detector is given by

Equation 2.15

graphics/02equ015.gif


with

Equation 2.16

graphics/02equ016.gif


where, by (2.13),

Equation 2.17

graphics/02equ017.gif


and where in (2.17), [A]i,j denotes the (i, j)th element of the matrix A. Note that by the Cauchy–Schwartz inequality, we have

Equation 2.18

graphics/02equ018.gif


Since ||s1|| = 1 and graphics/031fig01.gif, it then follows that ||d1|| 1. Hence, by (2.16), we have Var{v1[i]} s2 (i.e., the linear decorrelating detector enhances the output noise level).


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