Subject Name: Digital Communication Subject Code: 10EC61

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Presentation transcript:

Subject Name: Digital Communication Subject Code: 10EC61 Prepared By: Lakshmi C R, Pallavi Department: ECE Date: 1.4.15 Engineered for Tomorrow Prepared by : Pavana H Department : ECE Date : 24.12.2013

UNIT 4 Intersymbol Interference in Baseband Communication

Contents ISI Nyquist’s criterion for distortion less base-band binary transmission Correlative coding Eye pattern Base-band m-array PAM system Adaptive equalization for data transmission

Inter symbol Interference If we transmit digital data which demands more bandwidth which exceeds channel bandwidth, spreading will occur and cause signal pulses to overlap. This overlapping is called Inter Symbol Interference. In short it is called ISI ISI causes degradations of signal if left uncontrolled. This problem of ISI exists strongly in Telephone channels like coaxial cables and optical fibers.

BASEBAND TRANSMISSION PAM signal transmitted is given by V(t) is basic pulse, normalized so that V(0) = 1, x(t) represents realization of random process X(t) and ak is sample value ofrandom variable ak which depends on type of line codes. The receiving filter output

The output pulse μ P(t) is obtained because input signal ak The output pulse μ P(t) is obtained because input signal ak .V(t) is passed through series of systems with transfer functions HT(f), HC(f), HR(f). Therefore μ P(f) = V(f). HT(f).HC(f).HR(f) The receiving filter output y(t) is sampled at ti = iTb. where i takes intervals i = ±1, ±2 . .

Nyquist Pulse Shaping Criterion In detection process received pulse stream is detected by sampling at intervals ±KTb, then in detection process we will get desired output. This demands sample of ith transmitted pulse in pulse stream at Kth sampling interval should be If received pulse P(t) satisfy this condition in time domain, then y(ti) = μai

Ideal Solution Ideal Nyquist filter that achieves best spectral efficiency and avoids ISI is designed to have bandwidth as suggested B0 = 1/2Tb (Nyquist bandwidth) = Rb/2 ISI is minimized by controlling P(t) in time domain or P(f) to be rectangular function in frequency domain.

Practical solution To design raised cosine filter which has transfer function consists of a flat portion and a roll off portion which is of sinusoidal form. Bandwidth Bo=1/2Tb is an adjustable value between Bo and 2Bo. The frequency f1 and bandwidth Bo are related by Transmission bandwidth required can be obtained from the relation B = 2Bo- f1

Correlative coding By adding ISI to the transmitted signal in a controlled manner, it is possible to achieve a bit rate of 2Bo bits per second in a channel of bandwidth Bo Hz. Such a scheme is correlative coding or partial- response signaling scheme

Duo binary coding Duo implies doubling of the transmission capacity of a straight binary system

Duo binary decoding

Modified Duobinary scheme. It is an extension of the duo-binary signaling. The modified duo binary technique involves a correlation span of two binary digits. Two-bit delay causes the ISI to spread over two symbols. This is achieved by subtracting input binary digits spaced 2Tb secs apart.

Generalized form of correlative coding scheme

Eye Pattern The eye pattern is experimental method that contains all the information concerning the degradation of quality. Therefore, careful analysis of the eye pattern is important in analyzing the degradation mechanism.

The width of the eye opening defines the time interval over which the received wave can be sampled without error from ISI • The optimum sampling time corresponds to the maximum eye opening • The height of the eye opening at a specified sampling time is a measure of the margin over channel noise.

Base band Transmission of M-ary data In base band M-ary PAM, output of the pulse generator may take on any one of the Mpossible amplitude levels with M>2 for each symbol The blocks of n- message bits are represented by M-level waveforms with T= 2Tb is termed symbol duration . In general symbol duration T = Tb log 2M.

Adaptive equalization for data transmission This technique is another approach to minimize signal distortion in the base band data transmission. This is Nyquist third method for controlling ISI. Adaptive equalization: An equalizer is a filter that compensates for the dispersion effects of a channel.Adaptive equalizer can adjust its coefficients continuously during the transmission of data

It consists of tapped delay line filter with set of delay elements, set of adjustable multipliers connected to the delay line taps and a summer for adding multiplier outputs. The output of the Adaptive equalizer is given by

Two modes of operation Training mode 2 . Decision directed mode Methods of implementing adaptive equalizer i) Analog ii) Hard wired digital iii) Programmable digital

Assignment Question Unit 4: 1. Derive Nyquist criterion for distortionless baseband binary transmission. 2. What is eye pattern? Explain in detail. 3. With a neat filter structure, explain the concept of adaptive equalization process. 4. Explain basic elements of a baseband binary PAM system.