Spreading function and scattering function, Advanced Statistics

Assignment Help:

1)  Consider an antenna with a pattern:

G(θ,φ) = sinn(θ/θ0) cos(θ/θ0)   where θ0 = Π/1.5

(a) What is the 3-dB bandwidth?

(b) What is the 10-dB beam width?

(c) What is the directivity?

2)  Let  the  transmit  antenna  be  a  vertical λ/2  dipole,  and  the  receive  antenna  a  vertical λ/20 dipole.

(a) What are the radiation resistances at TX and RX?

(b) Assuming ohmic losses due to Rohmic = 10 Ω, what is the radiation efficiency?

3)  Explain the  difference  between  spreading  function  and  scattering  function.  Give examples  of  situations  where  the  information  contained  in  the  time  frequency correlation function RH(Δt, Δf) can be useful.

4)  The coherence  time Tc gives measure of how  long a channel can be considered  to be constant,  and  can  be  approximated  as  the  inverse  of  the  Doppler  spread. Obtain  an estimate of coherence time in Figure 6.7 of Molisch text.

5)  In  a  CDMA  system,  the  signal  is  spread  over  a  large  bandwidth  by  multiplying  the transmitted  symbol  by  a  sequence  of  short  pulses,  also  called  chips.  The  system bandwidth  is thus determined by the duration of a chip.  If the chip duration  is 0.26 μs and  the maximum excess delay  is 1.3 μs,  into how many delay bins do  the multipath components  fall?  If  the  maximum  excess  delay  is  100  ns,  is  the  CDMA  systems wideband or narrowband?

6)  For the COST 207 channel models (created for GSM evaluations),

(a)  Find the rms delay spread of the COST 207 environments RA, TU.

(b) What is the coherence bandwidth of the RA and TU channels?

(c)  Could two different function PDPs have the same rms delay spread?


Related Discussions:- Spreading function and scattering function

Define high-dimensional data, High-dimensional data : This term used for da...

High-dimensional data : This term used for data sets which are characterized by the very large number of variables and a much more modest number of the observations. In the 21 st

Dummy variable, Discuss the use of dummy variables in both multiple linear ...

Discuss the use of dummy variables in both multiple linear regression and non-linear regression. Give examples if possible

Statistical & Quantitative Methods , Given: There are 4 jobs and 4 persons...

Given: There are 4 jobs and 4 persons. The cost incurred for each person and each job is as follows: Persons Job 1 Job 2 Job 3 Job 4 A 10 9 21 11 B 15 12 25 17 C 12 10 20 12 D 17

Random allocation, Random allocation is a technique for creating the treat...

Random allocation is a technique for creating the treatment and control groups particularly in accordance of the clinical trial. Subjects receive the active treatment or the place

Describe item-total correlation, Item-total correlation is an  extensively...

Item-total correlation is an  extensively used method for checking the homogeneity of the scale made up of number of items. It is simply the Pearson's product moment correlation c

Average age at death, Average age at death : A ?awed statistic summarizing ...

Average age at death : A ?awed statistic summarizing expectancy of the life and other aspects of the mortality. For instance, a study comparing average age at the death for male sy

Baddeley''smetric, Baddeley'smetric : A manner of measuring the 'error' in ...

Baddeley'smetric : A manner of measuring the 'error' in the image processing technique or method. The metric is derived using the fundamental theory from the stochastic geometry an

Operations Management, 1.Sam Lucarelli, owner of Lucarelli Products, is eva...

1.Sam Lucarelli, owner of Lucarelli Products, is evaluating whether to produce a new product line. After thinking through the production process and the costs of raw materials and

Determine the maximum amount of the commodity, A manufacturing company has ...

A manufacturing company has two factories F 1 and F 2 producing a certain commodity that is required at three retail outlets M 1 , M 2 and M 3 . Once produced, the commodity is

Latent class analysis, Latent class analysis is a technique of assessing w...

Latent class analysis is a technique of assessing whether the set of observations including q categorical variables, in specific, binary variables, consists of the number of diffe

Write Your Message!

Captcha
Free Assignment Quote

Assured A++ Grade

Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!

All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd