Presentation is loading. Please wait.

Presentation is loading. Please wait.

Modulation and Demodulation

Similar presentations


Presentation on theme: "Modulation and Demodulation"— Presentation transcript:

1 Modulation and Demodulation
EECS 233 Fall, 2002 11/27/2018 EE233 Chang-Hasnain

2 Modulation Conversion of digital electrical data into optical format
On-off keying (OOK) is the most commonly used scheme NRZ format  most commonly used RZ format (requiring 2X NRZ bandwidth) Pulse format (not commercially deployed) bit interval 11/27/2018 EE233 Chang-Hasnain

3 DC Balance Typical problem for all OOK formats
Average transmitted power is not constant  decision threshold varies with ratio of 1s to 0s Use line coding or scrambling to solve the problem Binary block line code  encodes a block of k bits into n bits i.e. (k,n) code Fiber Channel standard  (8, 10) Fiber distributed data interface (FDDI)  (4,5) Most data links Scrambling 1-to-1 mapping of data stream and coded data streme Minimize prob. of long 1s and 0s Does not require more BW Does not guarantee DC balance Most telecom links 11/27/2018 EE233 Chang-Hasnain

4 Demodulation: Receiver
Recovering the transmitted data Recovering the bit clock Determining the bit value within each bit interval 11/27/2018 EE233 Chang-Hasnain

5 Binomial Random Variable
Suppose n independent trials are performed each results in a success with probability p and in a failure with probability 1-p. X represents the number of successes that occur in n trials, then X is said to be a binomial RV with parameter (n,p). The probability mass function (pmf) 11/27/2018 EE233 Chang-Hasnain

6 Poisson Random Variable
First introduced by S.D. Poisson in 1837 regarding probability theory applied to lawsuits, criminal trials and the like. Approximates a binomial random variable with parameters (n, p) when n is large and p is small and l=np is moderate. X is a Poisson random variable, taking the values 0, 1, 2, …, with parameter l Prove to yourself that this comes from the Binomial pmf l is in a sense the average success (occurrence rate) 11/27/2018 EE233 Chang-Hasnain

7 Normal or Gaussian? Normal distribution was introduced by French mathematician A. De Moivre in 1733. Used to approximate probabilities of coin tossing Called it exponential bell-shaped curve 1809, K.F. Gauss, a German mathematician, applied it to predict astronomical entities… it became known as Gaussian distribution. Late 1800s, most believe majority data would follow the distribution  called normal distribution DeMoivre-Laplace limit theorem When n is large, a binomial RV will have approx. the same distribution as a normal RV with the same mean and variance. Central limit theorem The sum of a large number of independent RVs has a distribution that is approx. normal. 11/27/2018 EE233 Chang-Hasnain

8 Bit Error Rate: Ideal Receiver
Light signal with power P and B is bit rate #Photons/sec=P/hn Ave # Photons/bit interval = P/(hnB) P[0|1]= BER=p(1)P[0|1]+p(0)P[1|0] = For BER, we need an average of 27 photons per bit Where 11/27/2018 EE233 Chang-Hasnain

9 Normal Distribution = variance = (STD)2 = mean 11/27/2018
EE233 Chang-Hasnain

10 Receiver Design 11/27/2018 EE233 Chang-Hasnain

11 Front End Configuration
High-impedance amplifier Transimpedance front-end can achieve high bandwidth (small RC constant), high sensitivity and low thermal noise (high load resistance) 11/27/2018 EE233 Chang-Hasnain

12 PIN Basis Increase width of i-region Gain-Bandwidth trade-off
Increase RC constant Increase Responsivity Gain-Bandwidth trade-off 11/27/2018 EE233 Chang-Hasnain

13 Materials for PIN diodes
11/27/2018 EE233 Chang-Hasnain

14 Noise in PIN Diodes Shot noise (Poisson process ~ Gaussian)
R is responsivity of detector Be elec. BW of detector (typically between bit rate and ½ bit rate) Thermal noise (Gaussian process) Fn is the noise figure of front-end amplifier, typically 3-5 dB. Total noise power 11/27/2018 EE233 Chang-Hasnain

15 Signal to Noise Ratio Thermal-noise limit (practical cases)
Shot-noise limit 11/27/2018 EE233 Chang-Hasnain

16 Some terminology Noise-equivalent power (NEP) Detectivity
Minimum optical power per unit bandwidth required to produce SNR = 1 Detectivity The inverse of NEP 11/27/2018 EE233 Chang-Hasnain

17 Avalanche Photodiodes
Electron multiplication was first observed in p-n junctions in Silicon and Germanium, by McKay, K. G. and K. B. McAfee in 1953 (Phys Rev. 91:1079) 11/27/2018 EE233 Chang-Hasnain

18 Electron Multiplication Effect
A high E-field in the depletion region causes carriers to have enough kinetic energy to “kick” new electrons from valence band up to conduction band – Avalanche Multiplication 11/27/2018 EE233 Chang-Hasnain

19 Positive Feedback When both electrons and holes can ionize, both will contribute to gain. However, because they move in opposite directions, a positive feedback loop arises. Positive feedback degrades both response bandwidth and noise, by a factor equal to loop-gain plus one. (from general feedback theory) 11/27/2018 EE233 Chang-Hasnain

20 Ionization Cofficient
Ionization coefficient is the number of new e-h pairs generated per unit length by one photo-carrier. 11/27/2018 EE233 Chang-Hasnain

21 APD Structures Advanced APD structures have two regions: one for photon absorption, and the other for carrier multiplication. This is so that both absorption length and multiplicative gain can be optimized separately. 11/27/2018 EE233 Chang-Hasnain

22 APD Gain One can derive the gain of an APD. Derivation is similar to gain/loss in lasers, fibers etc., except now carriers move in both directions, complicating things. For the case where >>, the gain is as expected: Gm=exp (L). For , gain is: For =, 11/27/2018 EE233 Chang-Hasnain

23 Noise in APD Shot noise Where FA is the excess noise factor
InGaAs detectors typically have / =0.7 11/27/2018 EE233 Chang-Hasnain

24 Optical Preamp G RX Optical Preamp Receiver Spontaneous noise power
Photocurrent at the input side of receiver a optical power = population inversion factor Optical bandwdith 11/27/2018 EE233 Chang-Hasnain

25 Noise of Optical Preamp
Optical power is proportional to square of electric field Includes beating noise of signal-spontaneous and spontaneous-spontaneous When G is large, signal-spontaneous beat noise dominates over shot and thermal noise 11/27/2018 EE233 Chang-Hasnain

26 Noise Figure SNRo SNRi G RX Optical Preamp Receiver
No thermal noise, since the signal has not hit the detection circuit. Ignore dark current. Noise Figure 11/27/2018 EE233 Chang-Hasnain

27 Bit Error Rates = Optical SNR
Typically we like to know what is the minimum receiver power for a given BER Receiver sensitivity definition= minimum average optical power for a given BER (typical 1e-12) 11/27/2018 EE233 Chang-Hasnain

28 Receiver Sensitivity : Min. average power to achieve 1e-12 BER
For BER=1e-12, Q=7 Assuming I0=0 11/27/2018 EE233 Chang-Hasnain

29 Sensitivity Improvement in APD
APD gain reduces the effective thermal noise, but increases effective shot noise. Assume l=1.55 mm, R=1.25 A/W, h=1, T=300 K, Be=B/2 and B=109 bits/sec, Fn=3dB (front end amplifier), RL=100W For pin with front end amplifier, Gm=1, For APD with Gm=10 and FA=1.3 (from kA=0.7) 11/27/2018 EE233 Chang-Hasnain

30 Receiver Sensitivity: Optical Preamp
: Min. average power to achieve 1e-12 BER For BER=1e-12, Q=7 For large G, 11/27/2018 EE233 Chang-Hasnain

31 Improvement w. Optical Preamp
For nsp=1, l=1.55 mm, R=1.25 A/W, h=1, T=300 K, Be=B/2 and B=109 bits/sec Or number of photons per bit = 2Q2 = 98 11/27/2018 EE233 Chang-Hasnain

32 PIN and APD Sensitivity
An APD typically has 10 dB better sensitivity than a PIN. -36 dBm sensitivity at 2.5 GB/s is possible. 11/27/2018 EE233 Chang-Hasnain

33 Typical Spec-sheet of a 10Gb pin
11/27/2018 EE233 Chang-Hasnain

34 11/27/2018 EE233 Chang-Hasnain

35 References B.E.A. Saleh and M.C. Teich, “Fundamentals of Photonics”
G. P. Agrawal, “Fiber-Optic Communication Systems” A. Yariv, “Optical Electronics in Modern Communications” Silvano Donati, “Photodetectors : devices, circuits, and applications” 11/27/2018 EE233 Chang-Hasnain


Download ppt "Modulation and Demodulation"

Similar presentations


Ads by Google