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European Journal of Scientific Research - EuroJournals

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830 Taba Mohamed Tahar, S. Femmame and D. Mossadeg<br />

⎡<br />

π<br />

0<br />

n<br />

exp j<br />

⎣ 2 n=<br />

−∞<br />

= −α<br />

nα n−1a<br />

0,<br />

n−2<br />

⎦<br />

−1<br />

a = j<br />

, n ⎢ ∑α n⎥<br />

= α na<br />

0,<br />

n<br />

⎡<br />

π<br />

a = j<br />

j<br />

, n α n ⎢ ∑α = n⎥<br />

α na<br />

0,<br />

n<br />

j exp 1 −2<br />

2 n=<br />

−∞<br />

n<br />

⎤<br />

⎤<br />

⎣ ⎦<br />

In other words, the GMSK signal can be approximated with almost no error by the sum <strong>of</strong> two<br />

QAM signals with pulse shapes h0(t) and h1(t). These two pulses in the linear approximation [3], are<br />

shown in figure 1.<br />

For the case L = 4, BT=0.3,<br />

h0 ( t)<br />

= β ( t − 4T<br />

) β ( t − 3T<br />

) β ( t − 2T<br />

) β ( t − T )<br />

0 ≤ t≤ 5T<br />

(9)<br />

h 1(<br />

t)<br />

= β ( t − T)<br />

β ( t − 2T<br />

) β ( t − 4T<br />

) β ( t + T)<br />

0 ≤ t ≤ 3T<br />

With,<br />

(10)<br />

⎧sin[<br />

πh<br />

−πhψ<br />

( t)]<br />

⎪<br />

,<br />

sin( πh)<br />

⎪<br />

β ( t) = ⎨β<br />

( −t),<br />

⎪<br />

0,<br />

⎪<br />

⎩<br />

With h=0.5 β(t) becomes:<br />

tε<br />

[ 0,<br />

LT )<br />

tε<br />

( LT , 0]<br />

t ≥ 0<br />

(11)<br />

π ⎧cos(<br />

2 g(<br />

t))<br />

⎪<br />

β ( t) = ⎨β<br />

( −t),<br />

⎪<br />

⎩0,<br />

tε<br />

[ 0,<br />

LT )<br />

1 t1Q<br />

( σ t1)<br />

−t2Q<br />

( σ t2)<br />

ψ(<br />

t)<br />

= +<br />

−...<br />

tε<br />

( LT , 0]<br />

2 2Tp<br />

2 2<br />

2 2<br />

exp( −σ<br />

/ 2)<br />

t exp( σ / 2)<br />

t ≥ 0<br />

1 − − t2<br />

−<br />

2Tσ<br />

2π<br />

(12)<br />

Tp<br />

Tp<br />

t1 = t − 2 , t 2 t + 2 , σ =<br />

Tp: sampling period.<br />

2πB = ln 2<br />

Figure 1: Represents two pulse shapes in the GMSK linear approximation. The power in h1(t) is 0.48% <strong>of</strong> the<br />

power in h0(t).<br />

h 1(t)<br />

Because the majority (99.5%) <strong>of</strong> signal energy in GMSK signal s(t) is contained in the first<br />

pulse approximation h0(t) figure 1, we can further simplify s(t) into a single QAM transmission<br />

∞<br />

= ∑ ( t − nT ), a =<br />

0<br />

n j na<br />

n<br />

n 1<br />

n=<br />

−∞<br />

s( t)<br />

a h<br />

α (13)<br />

−<br />

It can be noted that the approximation error may be viewed as an additive interference.<br />

Therefore, even in noiseless channels, the maximum signal-to-noise ratio (SNR) <strong>of</strong> this approximation<br />

h 0(t)<br />

p

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