Linear Decorrelating Detector
A linear decorrelating detector for user 1,
, 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
Equation 2.12
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
has full column rank, rank(S) = K]. Let
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
Proof: It is easily verified
that
Equation 2.14
Therefore, (2.11) and
(2.12) hold.
The output of the linear decorrelating detector is given by
Equation 2.15
with
Equation 2.16
where, by (2.13),
Equation 2.17
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
Since ||s1|| =
1 and
, 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).