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B. P. Lathi, Zhi Ding - Modern Digital and Analog Communication Systems-Oxford University Press (2009)

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544

PERFORMANCE ANALYSIS OF DIGITAL COMMUNICATION SYSTEMS

and based on Parseval's theorem, the output is

1_: q(r:)s;(r:) dr: = <q, s;>

Hence, <q, s;> is the output at t = TM of a filter matched to s; (t) when q(t) is applied to

its input.

Actually, we do not have q(t). The incoming signal r(t) is given by

r(t) = s;(t) + n w (t)

= s;(t) + n(t) + no(t)

'--.--'

q(t)

iJTclcvant

where no (t) is the (irrelevant) component of n w (t) orthogonal to the N-dimensional signal

space. Because no (t) is orthogonal to this space, it is orthogonal to every signal in this space.

Hence, it is orthogonal to the signal s;(t), and

and

1_: no(t)s;(t) dt = 0

<q, s;> = 1_: q(t)s;(t) dt + 1_: no(t)s;(t) dt

= 1_: [q(t) + no(t)]s;(t) dt

= 1_: r(t)s;(t) dt (10.91)

Hence, it is immaterial whether we use q(t) or r(t) at the input. We thus apply the incoming

signal r(t) to a parallel bank of matched filters, and the output of the filters is sampled at

t = \4 . Then a constant a; is added to the ith filter output sample, and the resulting outputs

are compared. The decision is made in favor of the signal for which this output is the largest.

The receiver implementation for this decision procedure is shown in Fig. 10.18a. Section l O. l

has already established that a matched filter is equivalent to a correlator. One may therefore

use correlators instead of matched filters. Such an arrangement is shown in Fig. 10.18b.

We have shown that in the presence of AWGN, the matched filter receiver is the optimum

receiver when the merit criterion is minimum error probability. Note that the optimum system

is found to be linear, although it was not constrained to be so. Therefore, for white Gaussian

noise, the optimum receiver happens to be linear. The matched filter obtained in Secs. 10.1

and 10.2, as well as the decision procedure are identical to those derived here.

The optimum receiver can be implemented in another way. From Eq. (10.91), we have

From Eq. (10.44), we can rewrite this as

<q, S; > = <r, S; >

N

<q, S;> = L r1s;1

j=!

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