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502<br />

Performance of Communication Systems Corrupted by Noise Chap. 7<br />

Polar Signaling<br />

As shown in Fig. 7–4c, the baseband polar signaling waveform is<br />

s 1 (t) = +A, 0 6 t … T (binary 1)<br />

(7–25a)<br />

s 2 (t) = -A, 0 6 t … T (binary 0)<br />

(7–25b)<br />

The polar signal is an antipodal signal, since s 1 (t) =-s 2 (t).<br />

The performance of an LPF receiver system is obtained by using Eq. (7–17). Assuming<br />

that the equivalent bandwidth of the LPF is B 2/T, we realize that the output signal samples<br />

are s 01 (t 0 ) ≈ A and s 02 (t 0 ) ≈ -A at the sampling time t = t 0 . In addition, s 2 0 = (N 0 B). The<br />

optimum threshold setting is now V T = 0. Thus, the BER for polar signaling is<br />

P e =<br />

A<br />

Q¢ 2<br />

(7–26a)<br />

C N 0 B ≤ (low-pass filter)<br />

where B is the equivalent bandwidth of the LPF.<br />

The performance of the matched-filter receiver is obtained, once again, by using<br />

Eq. (7–20), where t 0 = T. (The integrate-and-dump matched filter for polar signaling was<br />

given in Fig. 6–17.) Since the energy of the difference signal is E d = (2A) 2 T, the BER is<br />

2A 2 T<br />

P e = Q¢ ≤ = Q¢ 2a E b<br />

b ≤<br />

C N 0 C N 0<br />

(matched filter)<br />

(7–26b)<br />

where the average energy per bit is E b = A 2 T. The optimum threshold setting is V T = 0.<br />

A plot of the BER for unipolar and polar baseband signaling is shown in Fig. 7–5. It is<br />

apparent that polar signaling has a 3-dB advantage over unipolar signaling, since unipolar<br />

signaling requires a E b /N 0 that is 3 dB larger than that for polar signaling for the same P e .<br />

Bipolar Signaling<br />

For bipolar NRZ signaling, binary 1’s are represented by alternating positive and negative<br />

values, and the binary 0’s are represented by a zero level. Thus,<br />

s 1 (t) = ;A, 0 6 t … T (binary 1)<br />

(7–27a)<br />

s 2 (t) = 0, 0 6 t … T (binary 0)<br />

(7–27b)<br />

where A 7 0. This is similar to unipolar signaling, except two thresholds, +V T and -V T , are<br />

needed as shown in Fig. 7–6. Figure 7–6b illustrates the error probabilities for the case of<br />

additive Gaussian noise. The BER is<br />

P e = P(error| + A sent)P(+A sent) + P(error| - A sent)P(-A sent)<br />

+ P(error|s 2 sent)P(s 2 sent)<br />

and, by using Fig. 7–6b, we find that<br />

P e L c2Qa A - V T<br />

s 0<br />

bd 1 4 + c2Qa V T<br />

s 0<br />

bd 1 2

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