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UWB Receiver Design
Ultra-wideband (UWB) systems have received considerable attention in
the recent past. UWB communication systems can be deployed in dense
multipath environment to provide short-to-medium range
communications. As the UWB systems operate at very low power and
have bandwidths in excess of few GHz, multipath components of UWB
signals tend to have very low SNR per diversity branch. Given the
fine time resolution of UWB signals, a rake receiver can be used to
exploit the multipath diversity. However, for large number of
multipath components rake receiver is not practical because of
increased receiver structure complexity. Moreover, large spreading
bandwidth of UWB signals will preclude the implementation of rake
receivers with huge number of antennas.
In
the recent past, several receiver structures have been considered
for UWB communication systems. As depicted in Fig. 1(a), a GSC(N,
L) receiver adaptively combines a subset of N signals
with the best instantaneous SNR out of L available paths. The
performance of GSC receiver improves as N is increased and is
equivalent to that of maximal-ratio combining (MRC) for the case
N = L. However, there is a trade-off involved as this
improvement in GSC performance comes at the cost of increased
selection circuit complexity.

Fig. 1(a)
GSC(N, L) receiver that adaptively combines N paths with
strongest instantaneous SNRs.
As
an alternative, we study the throughput-range performance of an N-tap
MRC(N, L) receiver structure that combines first N
available multipath components as shown in Fig.1(b). Though the
performance of MRC(N, L) is slightly inferior to GSC(N,
L), it doesn’t require ranking of N best diversity
branches among a group of L available diversity branches.

Fig. 1(b)
MRC(N, L) rake receiver that combines N paths with strongest mean
SNRs.
Theoretical throughput performance of binary PAM in conjunction with
GSC(N, 20) and MRC(N, 20) receiver structures over
i.i.d Rayleigh fading environment is illustrated in Fig. 2. As
expected, GSC receiver outperforms MRC for fixed number of combined
paths N (N ≠ L). For instance, GSC(1, 20) and
MRC(5, 20) have identical throughput performances. From Fig. 2, it
is also apparent that as the number of combined paths-N are
increased, throughput performance of N-tap MRC becomes
virtually identical with GSC(N, L). Based on these
observations, we can conclude that deployment of GSC(N, L)
receiver is desirable for the cases when N << L.
Whereas, for N ≥ L/2 an N-tap MRC rake receiver
is preferable because of its low complexity and virtually identical
throughput performance when compared to GSC(N, L).

Fig. 2 Comparison
between the ABER performance of 2-ary PAM that employs either GSC(N,
20) receiver or a MRC receiver that combines first N paths in a
i.i.d Rayleigh channel.
Fig. 3 draws comparison between the throughput performance of GSC(N,
L) and MRC(N, L) receiver structures in
a Rayleigh environment with exponentially decaying multipath intensity
profile (δ = 0.2). The average SNR of the n-th
diversity path is where
denotes the average SNR/bit and the parameter
is chosen such that the constraint
is satisfied, solving for C yields
. It is apparent from Fig. 3 that even for smaller
ratio of N/L, MRC(N, L) gives comparable
performance with respect to the GSC(N, L) receiver. As
N increases, the gap between the MRC and GSC performance
curve narrows down. In general, it may be concluded that for greater
values of δ, throughput performance of MRC(N, L)
is virtually identical to the GSC(N, L) receiver.

Fig. 3 Comparison between the ABER performance of 2-ary PAM that
employs either GSC(N, 12) receiver or a MRC receiver that combines
first N paths in a Rayleigh channel with nonidentical fading
statistics and δ = 0.2. |