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

Persson rootze ´n estimator, Persson Rootze ´n estimator  is an estimator f...

Persson Rootze ´n estimator  is an estimator for the parameters in the normal distribution when the sample is truncated so that all the observations under some fixed value C are re

Frequency distribution, The division of a sample of observations into sever...

The division of a sample of observations into several classes, together with the number of observations in each of them.  It acts as a useful summary of the main features of the da

Catastrophe theory, Catastrophe theory : A theory of how little is the cont...

Catastrophe theory : A theory of how little is the continuous changes in the independent variables which can have unexpected, discontinuous effects on the dependent variables. Exam

Density estimation, Procedures for estimating the probability distributions...

Procedures for estimating the probability distributions without supposing any particular functional form. Constructing the histogram is perhaps the easiest example of such type of

Bartlett decomposition, Bartlett decomposition : The expression for the ra...

Bartlett decomposition : The expression for the random matrix A which has a Wishart distribution as the product of the triangular matrix and the transpose of it. Letting each of x

Environmental statistics, The procedures used for determining how the quali...

The procedures used for determining how the quality of life is affected by the environment, in particular by factors such as air and solid wastes, water pollution, hazardous substa

SCATTER DIAGRAM, MEANING ,IMPORTANCE AND RELEAVANCE OF SCATTER DIAGRAM

MEANING ,IMPORTANCE AND RELEAVANCE OF SCATTER DIAGRAM

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

Parks test, The Null Hypothesis - H0: β 1 = 0 i.e. there is homoscedastici...

The Null Hypothesis - H0: β 1 = 0 i.e. there is homoscedasticity errors and no heteroscedasticity exists The Alternative Hypothesis - H1: β 1 ≠ 0 i.e. there is no homoscedasti

Describe ignorability., Ignorability : The missing data mechanism is said t...

Ignorability : The missing data mechanism is said to be ignorable for likelihood inference if (1) the joint likelihood for the responses of the interest and missing data indicators

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