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

Population averaged models, Population averaged models are the models for ...

Population averaged models are the models for kind of clustered data in which the marginal expectation of response variable is the main focus of interest. An alternative approach

Estimating functions, The functions of the data and the parameters of inter...

The functions of the data and the parameters of interest which can be brought in use to conduct inference about the parameters when full distribution of the observations is unknown

Regression dilution, Regression dilution is the term which is applied when...

Regression dilution is the term which is applied when a covariate in the model cannot be measured directly and instead of that a related observed value must be used in analysis. I

Multi co linearity, Multi co linearity is the term used in the regression ...

Multi co linearity is the term used in the regression analysis to indicate situations where the explanatory variables are related by a linear function, making the inference of the

Differences total spot, The graphical process most frequently used in the a...

The graphical process most frequently used in the analysis of data from a two-by-two crossover design. For each of the subject the difference between the response variable values o

Data collection - analysis and display, One of the most exciting areas of m...

One of the most exciting areas of mathematics involves the application of statistics to real-world settings to make informed decisions. In this task you will design, implement, and

Reliability theory, Reliability theory is the theory which attempts to det...

Reliability theory is the theory which attempts to determine the reliability of the complex system from knowledge of the reliabilities of the components. Interest might centre on

Vital Statistics, meaning,uses,shortcomings and drawbacks of vital statist...

meaning,uses,shortcomings and drawbacks of vital statistics

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