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Chapter 6 – Worst-Case Jamming in SESS w/ Iterative Detector

# 6.1 Introduction

In chapter three, the performance of the SESS in a noise or fading channel was improved

by adding an iterative detector. In this chapter, an iterative detector was adding to the worst-case

jamming of SESS proposed in chapter four in hopes to achieve similar performance gains.

6.2 Analysis

In the previous chapter, the worst-case jamming was found by taking the differentiating

# Equation (16) with respect to ρ and setting the result equal to zero. The derivative of the Q-

function is not easily calculated when an iterative detector is attached to a SESS system. The

worst-case can be calculated from the same method used to find Equation (18) on page 33, which

is, using envelope of the family of curves to represent the worst-case for the probability of error.

6.3 Results

Taking the model used to generate Figure 15 on the previous page, we can apply SESS

with the iterative detector to help achieve an improvement on the worst-case scenario. Figure 16