Ch11Sec3_1

Ch11Sec3_1 - THE FIBER FORUM Fiber Optic Communications...

Info iconThis preview shows pages 1–13. Sign up to view the full content.

View Full Document Right Arrow Icon
Dr. Joseph C. Palais 11.3 1 THE FIBER FORUM Fiber Optic Communications Dr. JOSEPH C. PALAIS PRESENTED BY
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Dr. Joseph C. Palais 11.3 2 Section 11.3 Error Rates
Background image of page 2
Dr. Joseph C. Palais 11.3 3 Bit-Error Rate (BER) Fractional number of detection errors. The units of BER are errors per bit. Example: If the BER is BER = 0.001 = 10 -3 BER = 1/1000 There is, on average, one error for every 1000 bits received. The probability of an error (P e ) equals the BER.
Background image of page 3

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Dr. Joseph C. Palais 11.3 4 If R = data rate (bits/sec), the number of errors per seconds is obviously: RP e [(bits/s) x (errors/bits) ] = errors/s Example: If the data rate is R = 45 Mbps and the probability of error is P e = 10 -9 , how many errors/sec are there? Solution: RP e = 45 x 10 6 x 10 -9 = 45 x 10 -3 = 0.045 errors/s For example, every 100 seconds there are (on the average) 4.5 errors or 1 error every 1/0.045 = 22.2 s.
Background image of page 4
Dr. Joseph C. Palais 11.3 5 We will separately compute the error rates for thermal- noise limited and shot-noise limited systems.
Background image of page 5

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Dr. Joseph C. Palais 11.3 6 11.3.1 Thermal-Noise-Limited Error Rate Consider the following waveforms: Ideal receiver current 1 0 1 i s 1 0 1 t Actual current t i s i = i s + i N = i s + i NS + i NT The sampling times are indicated in green. i i
Background image of page 6
Dr. Joseph C. Palais 11.3 7 For the thermal-limited case: i NT >> i NS Sampled current (sample and hold): Threshold current i s t Perceived data (comparator) 1 0 0 t Error t
Background image of page 7

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Dr. Joseph C. Palais 11.3 8 1. 1’s are perceived as 0’s when the noise current is out of phase with the signal current, lowering the total current. 2. 0’s are perceived as 1’s when the noise current exceeds the threshold current.
Background image of page 8
Dr. Joseph C. Palais 11.3 9 What is the optimum value of the threshold current? If 1’s and 0’s are equally likely, The optimum threshold is 0.5 i S . Derivation of Probability of Error P e Let the threshold current be set as ki s where 0 < k < 1
Background image of page 9

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Dr. Joseph C. Palais 11.3 10 Case I: Assume a binary 1 is transmitted. Then i = i S (ideally) An error occurs if (i S + i N ) < ki S i N < - i S (1 - k) Note that this corresponds to a negative (out-of-phase) current. Case II : Assume a binary 0 is sent. An error occurs if i N > ki S
Background image of page 10
Dr. Joseph C. Palais 11.3 11 For Case I, the probability of error is: Prob [ i N < - i S (1 - k) ] x Prob [1] The product rules applies to the joint probability of independent events. Notation: Prob[y] = Probability of event y occurring. Also, use the shorthand notation: Prob [y] = P[y] For equally likely 0’s and 1’s we can write: P[1] = P[0] = 1/2
Background image of page 11

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Dr. Joseph C. Palais 11.3 12 For Case II, the probability of error is Prob [ i N > ki S ] x Prob [0] The total probability of error is the sum of the probabilities of the various ways errors can occur. Ex. Probability of throwing a 1 or 6 for dice is:
Background image of page 12
Image of page 13
This is the end of the preview. Sign up to access the rest of the document.

This note was uploaded on 05/11/2010 for the course EEE EEE-546 taught by Professor Palais during the Spring '10 term at ASU.

Page1 / 47

Ch11Sec3_1 - THE FIBER FORUM Fiber Optic Communications...

This preview shows document pages 1 - 13. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online