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Joseph Boccuzzi

"Signal Processing for Wireless Communications"


(5.138)
For sake of completeness the corresponding MMSE and MSINR array weights are given below.
(5.139)
(5.140)
The first results we present are for the M  5 antennas with P  1 CCI. We plot the BER versus
the estimator window size (N) for the MMSE, Ideal MSINR, MSINR-WSS, and genie aided knowledge
about the MSINR dimension of the noise plus interference subspaces.
Here we have two points to make: For the smaller values of the window size the plot shows how
MSINR can dramatically improve performance when compared to MMSE. Here some a priori value
of P is assumed. The second point is that the MSINR-WSS technique produced BER results very
close to the case when the rank of the RIN matrix (MSINR-SS) was known (see Fig. 5.66).
wMSINR  caP
i1
s2I
i
# hIi
h*I
i
 s2n
I d1
# s2d
# h
wMMSE  cs2d
# h h*  aP
i1
s2I
i
# hIi
h*I
i
 s2n
I d1
# s2d
# h
Rxx  s2d
# hh*  aP
i1
s2I
i
# hIi
# h*I
i
 s2n
I
PERFORMANCE IMPROVEMENT TECHNIQUES 279
Optimal Combining Performance, P = 1 CCI
M = 5 Antennas, SINR = 2.5 dB, INR = 10 dB, fd = 190 Hz
1.E??“04
1.E??“03
1.E??“02
4 5 6 7 8 9 10 11 12 13 14 15 16
Window Size (N Symbols) BER
MMSE
MSINR-SS
MSINR-WSS
Ideal MSINR
FIGURE 5.


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