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Unformatted text preview: ECE 5670 : Digital Communications ECE department, Cornell University, Spring 2011 Homework 6 Solutions Instructor: Salman Avestimehr Office 325 Rhodes Hall 1. (a) We know from Lecture 14 that the mean of the squared error in the estimate of the th channel coefficient is E [  h  2 ] 1 + E [  h  2 ] SNR . (1) For large enough SNR, this means that the mean of the squared error decreases as 1 SNR . (2) So, if we increase the SNR by a factor of two, the mean of the squared error decreases by a factor of a half. (b) i. We simply use of a pulse of amplitude E at every L time instances and nothing else: x [ iL ] = E, x [ iL + j ] = 0 , i k 1 and 1 j L 1 (3) ii. Since this is just a repetition code, the optimal estimator for h l just is just h l = c l k 1 i =0 y [ iL + l ] k , l = 0 ,...,L 1 (4) where c l is chosen to minimize the estimation error E [( h l h l ) 2 ] . Note that we can write E [( h l h l ) 2 ] = E [( h l c l k k 1 X i =0 ( Eh l + n [ iL + l ])) 2 ] (5) = E [( h l c l Eh l c l k k 1 X i =0 n [ iL + l ]) 2 ] (6) = (1 c l E ) E [ h 2 l ] + c 2 l k 2 k 1 X i =0 var ( n [ iL + l ])...
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This note was uploaded on 10/02/2011 for the course ECE 5670 taught by Professor Scaglione during the Spring '11 term at Cornell University (Engineering School).
 Spring '11
 SCAGLIONE

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