14
0.16
0.18
0.2
0 0.05 0.1 0.15 0.2
Eigenvalues
Probability
PDF(Lam1)
PDF(Lam2)
PDF(Lam3)
PDF(Lam4)
PDF(Lam5)
PDF(Lam6)
PDF(Lam7)
PDF(Lam8)
PDF(Lam9)
PDF(Lam10)
Eigenvalue Probability Density Function (PDF)
K = 5 Tap (T/2-Spaced), M = 2 Antennas, Flat Fading + CCI,
?»1
?»2
?»3
?»4
FIGURE 6.15 STE Eigenvalue PDF plot.
6.2.5 Linear Minimum Mean Square Error (LMMSE) Discussion
In this section, we will continue along the lines of using a linear equalizer structure on each antenna
as well as the MMSE cost function. Below we provide an alternative approach to performing a joint
space-time equalizer, assuming M receiver antennas [16][17].
We begin by writing the received signal on the first antenna which consists of the desired signal
with L ISI terms, C interfering signals with P ISI terms and noise.
(6.68)
The received signal vector notation (of size M 1) is given as
(6.69) r(t) H(t) # d(t) aC1
i0
Hi(t) # di(t) n(t)
r1(t) aL1
j0
h1, j # d(t j) aC1
i0 aP1
j0
h(i)
1, j # di(t j) n1(t)
312 CHAPTER SIX
0
20
40
60
80
100
0 0.05 0.1 0. 15 0. 2
Eigenvalues
Probability
CDF(Lam1)
CDF(Lam2)
CDF(Lam3)
CDF(Lam4)
CDF(Lam5)
CDF(Lam6)
CDF(Lam7)
CDF(Lam8)
CDF(Lam9)
CDF(Lam10)
Eigenvalue Cumulative Distribution Function (CDF)
K = 5 Tap (T/2-Spaced), M = 2 Antennas, Flat Fading + CCI,
?»1 ?»2
?»3
?»4
FIGURE 6.
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