lect6 - Kevin Buckley 2007 1 ECE 8770 Topics in Digital...

Info iconThis preview shows pages 1–3. Sign up to view the full content.

View Full Document Right Arrow Icon

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

View Full DocumentRight Arrow Icon
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: Kevin Buckley - 2007 1 ECE 8770 Topics in Digital Communications - Sp. 2007 Lecture 6 3 MLSE with Intersymbol Interference (ISI) This Section of the course notes corresponds to Section 10.1 of the Course Text. For back- ground information on ISI, read Section 9-1 and Subsections 9-2-1 through 9-2-3 of the Text. In this Section of the Course we deal with ISI caused by memory in the channel. This mem- ory, which my be the result of multipath propagation, negates the use of symbol-by-symbol detection for optimum reception. Here we consider a MLSE approach to dealing with the ISI. We have already studied MLSE for modulation schemes with memory (i.e. DPSK, PRS, CPM). We will see that the same approaches that applied then, also apply now. Although our focus will be on MLSE, note that as with reception for digital modulation schemes with memory, MAP sequence estimation and symbol-by-symbol MAP are alternatives approaches. In Section 4 of the Course we will consider an alternative approach – channel equalization. 3.1 Basics of Digital Communications with ISI This Subsection corresponds to Subsections 10-1-1 and 10-1-2 of the Course Text. The goal here is to develop an ISI model that will allow us to directly apply the techniques described previously in Subsections 2.3-5. We will focus on MLSE for N = 1 and N = 2 dimensional linear modulation schemes. The approach easily extends to higher dimensional and nonlinear schemes. Consider QAM, for which PAM and PSK can be consider special cases. In Subsec- tion 1.5.3 we established the following equivalent lowpass representation of symbols s m ( t ); m- 1 , 2 , · · · ,M : s ml ( t ) = V m e jθ m g ( t ) ; 0 ≤ t ≤ T m = 1 , 2 , · · · ,M , (1) where g ( t ) is a real-valued pulse shape. For symbol time n and transmitted symbol m = m ( n ), we can represent the transmitted symbol as s m ( n ) ( t- nT ) = V m ( n ) e jθ m ( n ) δ ( t- nT ) * g ( t ) (2) where 1 T is the symbol rate and δ ( t- nT ) is the impulse function delayed to time nT . Let I n = I n ( n ) = V m ( n ) e jθ m ( n ) . With this representation, the real part of I n corresponds to the cosine basis function term on the signal space representation, while the imaginary part corresponds to the sine term. For PAM or 2-PSK, there would be no sine term (i.e. these are N = 1 dimensional modulation schemes). { I n } is the random information sequence, for each symbol time n representing K = log 2 ( M ) bits. Kevin Buckley - 2007 2 Consider the digital communications channel illustrated as a lowpass equivalent in Figure 1(a). Using the I n representation of symbols, this illustration represents PAM, PSK and QAM where, respectively, I n is of the form: I n = A m (3) I n = e j 2 π ( m- 1) /M I n = V m e jφ m ....
View Full Document

This document was uploaded on 10/12/2009.

Page1 / 12

lect6 - Kevin Buckley 2007 1 ECE 8770 Topics in Digital...

This preview shows document pages 1 - 3. Sign up to view the full document.

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