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I. Previously on IET.

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Presentation on theme: "I. Previously on IET."— Presentation transcript:

1 I. Previously on IET

2 Phase Shift Keying (PSK) Modulation
1 1 1 1 Base band Signal X(t) Band Pass Signal Y(t)

3 PSK Demodulation x X(t)[2cos2(2πfct)] =X(t)[1+cos(4πfct)]
Low Pass Filter x X(t) 2cos(2πfct) X(t)[2cos2(2πfct)] =X(t)[1+cos(4πfct)] X(t)[2cos2(2πfct)]=X(t) +X(t)cos(4πfct)] Base band Signal (i.e., low frequency content) High frequency content

4 Orthogonality of sin and cos Functions
X(t)[2sin(2πfct)cos(2πfct)] X(t)cos(2πfct) x Low Pass Filter 2sin(2πfct) X(t)[2sin(2πfct)cos(2πfct)]=X(t) sin(4πfct)] High frequency content

5 Quadrature- PSK Modulation (QPSK)
XI(t)cos(2πfct) XI(t) x Y(t) cos(2πfct) + X(t) Serial-to-Parallel XQ(t) XQ(t)sin(2πfct) x sin(2πfct)

6 QPSK Demodulation Parallel-to-Serial X (t ) x Low Pass Filter X(t) Y(t
2cos(2πfct) x Low Pass Filter X (t ) Q 2sin(2πfct)

7 Modulation in Time-Limited Communications
Binary Encoder Transmitting Filter Cosine Modulation Binary Symbols Rectangular Filter In Phase Modulation  Time Representation ES=(1)2×1=1 1 TS 1 Frequency Representation TS f f -fc fc Time Representation ES=(-1)2×1 TS -1 Frequency Representation -fc fc f f -TS

8 Modeling of In phase Modulation
Binary Encoder Transmitting Filter Cosine Modulation ES=A2 -A A

9 Modulation in Band-Limited Communications
Binary Encoder Transmitting Filter Cosine Modulation Binary Symbols Raised Cosine Filter In Phase Modulation  Time Representation ES=(1)2×1=1 1 t 1 t Frequency Representation 1/RS f f -RS/2 RS/2 -fc- RS/2 -fc+ RS/2 fc- RS/2 fc+ RS/2 -fc fc Time Representation ES=(-1)2×1 t t Bit Rate = RS Bandwidth = RS 1 b/s/Hz -1 Frequency Representation -RS/2 RS/2 -fc- RS/2 -fc -fc+ RS/2 fc- RS/2 fc fc+ RS/2 f -1/RS 9

10 Modeling of In phase Modulation
Binary Encoder Transmitting Filter Cosine Modulation ES=A2 -A A

11 Modulation in Time-Limited Communications
Binary Encoder Transmitting Filter Sine Modulation Binary Symbols Rectangular Filter In Quadrature Modulation  Time Representation ES=(1)2×1=1 1 TS 1 Frequency Representation TS fc f -fc f Time Representation ES=(-1)2×1 TS -1 Frequency Representation -fc f f fc -TS 11

12 Modeling of In phase Modulation
Binary Encoder Transmitting Filter Sine Modulation ES=A2 jA -jA

13 Modulation in Band-Limited Communications
Binary Encoder Transmitting Filter Sine Modulation Binary Symbols Raised Cosine Filter In Quadrature Modulation  Time Representation ES=(1)2×1=1 1 t 1 t Frequency Representation 1/RS fc fc- RS/2 fc+ RS/2 f f -RS/2 RS/2 -fc- RS/2 -fc+ RS/2 -fc Time Representation ES=(-1)2×1 t t Bit Rate = RS Bandwidth = RS 1 b/s/Hz -1 Frequency Representation -RS/2 RS/2 -fc- RS/2 -fc -fc+ RS/2 f fc- RS/2 fc fc+ RS/2 -1/RS 13

14 Modeling of In phase Modulation
Binary Encoder Transmitting Filter Sine Modulation ES=A2 jA -jA

15 Modulation Constellations
BPSK QPSK 1 b/s/Hz 2 b/s/Hz 8-QPSK 16 QAM 3 b/s/Hz 4 b/s/Hz

16 Basic Communication Model in AWGN
R S* TX RX Detection + Channel Model R=S+N Detection Performance: Correct Detection S = S* Erroneous Detection S ≠ S*

17 BPSK Modulation over AWGN Channels
ES  Energy per Symbol

18 BPSK Modulation over AWGN Channels
Gaussian Noise

19 BPSK Modulation over AWGN Channels
Received signal distribution given transmitted

20 BPSK Modulation over AWGN Channels
Error Calculation given transmitted Symmetry of Gaussian Distribution Let

21 BPSK Modulation over AWGN Channels
Received signal distribution given transmitted

22 BPSK Modulation over AWGN Channels
Error Calculation given transmitted Let

23 BPSK Modulation over AWGN Channels
Signal Power & Symbol Error Performance

24 BPSK Modulation over AWGN Channels
Signal Power & Symbol Error Performance

25 BER of PSK over AWGN Channels
Notes: Define N0 Total Noise Power N0/2  Noise Power over Cosine axis, i.e., σ2=N0/2 Each symbol corresponds to a single bit Eb = ES Pb = Pe

26 QPSK Modulation over AWGN Channels
ES  Energy per Symbol Symbol Error given transmitted : Noise on Cosine axis < or Noise on Sine axis <

27 BER of QPSK over AWGN Channels
01 11 Notes: Define N0 Total Noise Power N0/2  Noise Power over Cosine axis, i.e., σ2=N0/2 N0/2  Noise Power over Sine axis, i.e., σ2=N0/2 Each symbol MOST LIKELY corresponds to a single bit (Gray Coding) Eb = ES/2 Pb ≈ Pe/2 00 10 Gray Coding: Neighbor constellations points vary in only one bit


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