The order of complexity of the maximization reduces

Info iconThis preview shows page 1. Sign up to view the full content.

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

Unformatted text preview: itted sequence. From the results in Section 2.5.3, we know that the ML estimator of the bit sequence à à à ½ ¼ (4.60) up to time ´Ã · ½µÌ is Ã Ö Ö Defining ÝÒ ¾ à ½ ÑÒ Ö´Øµ Ø Ò Ú ´Ø ÒÌ µ à ½ Ò¼ à ½ ½ ½ Ã Ú´Ø ÒÌ µ ¾ Ø ÑÜ Ö´Øµ Ò Ú ´Ø ÒÌ µ Ø ¾ ½ Ò ¼ Ò Ã ½ Ò¼ Ö £ Ú ´ÒÌ µ and ÜÒ Ú £ Ú ´ÒÌ µ, we can write the metric as Ü´ÒÌ µ ô õ Ã Ò (4.61) ¼ Ò ÝÒ ½ ¾ Ã Ò Ã ¼Ñ ¼ Ò Ñ ÜÒ Ñ (4.62) Then the MLS receiver, which is depicted in Figure 4.16, decides Ã Ö Ñ Ü Ã´ õ à (4.63) In order to make the decision, the MLS receiver has to check all the ¾Ã sequences to find the one 8 9 We cannot decide the future symbols until we have observed them. Ironically, although our goal is to combat ISI, there is no interference in this interpretation. 4.20 Wong & Lok: Theory of Digital Communications 4. ISI & Equalization @t=nT r(t) ~ v(t) Calculate metrics Select largest ^ bK Figure...
View Full Document

This note was uploaded on 12/13/2012 for the course EEL 6535 taught by Professor Shea during the Spring '08 term at University of Florida.

Ask a homework question - tutors are online