Upon graduating from EEE, you took up a career with a wireless technology company. One of your colleagues proposed a system design and your supervisor wanted you to analyse it. The design uses two antennas to transmit the same symbol and one antenna to receive the signal. The information below were also given to you for the analysis. Transmitted symbol, s(n), is equally likely to be 1 or -1. Slow flat fading with fixed channel gains h₁ and h2 for the two transmission channels. The scalar representation of the received signal is, E (h₁ + h₂) ·s(n) + w(n) where E is the total transmitted energy per symbol, and w(n) is additive white Gaussian noise with zero mean and variance ♂. In your analysis, you are required to determine the condition (mathematical inequality) for h₁ and h₂, for the performance of the proposed system to be better than that of a single transmitter antenna system, in terms of the probability of error. You may assume the probability of error to be Q (√2 × SNR), where SNR is the Signal to Noise Ratio. For the single transmitter antenna system, you may assume the same noise model and that the channel gain is h₁.

Introductory Circuit Analysis (13th Edition)
13th Edition
ISBN:9780133923605
Author:Robert L. Boylestad
Publisher:Robert L. Boylestad
Chapter1: Introduction
Section: Chapter Questions
Problem 1P: Visit your local library (at school or home) and describe the extent to which it provides literature...
icon
Related questions
Question
Upon graduating from EEE, you took up a career with a wireless technology company.
One of your colleagues proposed a system design and your supervisor wanted you to
analyse it. The design uses two antennas to transmit the same symbol and one antenna
to receive the signal. The information below were also given to you for the analysis.
Transmitted symbol, s(n), is equally likely to be 1 or -1.
Slow flat fading with fixed channel gains h₁ and h2 for the two transmission
channels.
The scalar representation of the received signal is,
E
(h₁ + h₂) ·s(n) + w(n)
where E is the total transmitted energy per symbol, and w(n) is additive white
Gaussian noise with zero mean and variance ♂.
In your analysis, you are required to determine the condition (mathematical inequality)
for h₁ and h₂, for the performance of the proposed system to be better than that of a
single transmitter antenna system, in terms of the probability of error. You may assume
the probability of error to be Q (√2 × SNR), where SNR is the Signal to Noise Ratio.
For the single transmitter antenna system, you may assume the same noise model and
that the channel gain is h₁.
Transcribed Image Text:Upon graduating from EEE, you took up a career with a wireless technology company. One of your colleagues proposed a system design and your supervisor wanted you to analyse it. The design uses two antennas to transmit the same symbol and one antenna to receive the signal. The information below were also given to you for the analysis. Transmitted symbol, s(n), is equally likely to be 1 or -1. Slow flat fading with fixed channel gains h₁ and h2 for the two transmission channels. The scalar representation of the received signal is, E (h₁ + h₂) ·s(n) + w(n) where E is the total transmitted energy per symbol, and w(n) is additive white Gaussian noise with zero mean and variance ♂. In your analysis, you are required to determine the condition (mathematical inequality) for h₁ and h₂, for the performance of the proposed system to be better than that of a single transmitter antenna system, in terms of the probability of error. You may assume the probability of error to be Q (√2 × SNR), where SNR is the Signal to Noise Ratio. For the single transmitter antenna system, you may assume the same noise model and that the channel gain is h₁.
AI-Generated Solution
AI-generated content may present inaccurate or offensive content that does not represent bartleby’s views.
steps

Unlock instant AI solutions

Tap the button
to generate a solution

Similar questions
  • SEE MORE QUESTIONS
Recommended textbooks for you
Introductory Circuit Analysis (13th Edition)
Introductory Circuit Analysis (13th Edition)
Electrical Engineering
ISBN:
9780133923605
Author:
Robert L. Boylestad
Publisher:
PEARSON
Delmar's Standard Textbook Of Electricity
Delmar's Standard Textbook Of Electricity
Electrical Engineering
ISBN:
9781337900348
Author:
Stephen L. Herman
Publisher:
Cengage Learning
Programmable Logic Controllers
Programmable Logic Controllers
Electrical Engineering
ISBN:
9780073373843
Author:
Frank D. Petruzella
Publisher:
McGraw-Hill Education
Fundamentals of Electric Circuits
Fundamentals of Electric Circuits
Electrical Engineering
ISBN:
9780078028229
Author:
Charles K Alexander, Matthew Sadiku
Publisher:
McGraw-Hill Education
Electric Circuits. (11th Edition)
Electric Circuits. (11th Edition)
Electrical Engineering
ISBN:
9780134746968
Author:
James W. Nilsson, Susan Riedel
Publisher:
PEARSON
Engineering Electromagnetics
Engineering Electromagnetics
Electrical Engineering
ISBN:
9780078028151
Author:
Hayt, William H. (william Hart), Jr, BUCK, John A.
Publisher:
Mcgraw-hill Education,