ECEN 390 - Laser Tag Project

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===== Milestone 2 =====
In this milestone, you will use MATLAB to design the signal processing algorithm used by the laser tag system.

===== Overview =====
The objective of the signal processing algorithm is to determine from the received signal whether your system has been hit, and if so, what player (frequency) performed the hit.

This figure shows (in the time domain) a signal that is just noise (i.e., no hit):

{{ :signal_overview1.jpg?300 |}}

This figure shows the same signal (also in the time domain) with a square wave at one of the player frequencies added to the noise (i.e., a hit from a gun):

{{ :signal_overview2.jpg?300 |}}

Your signal processing algorithm will be able to analyze these two signals and determine that the second plot contains a hit, and then determine the frequency of the shooter.

This milestone builds heavily on the work that you did in Lab #5 in 380 last semester.  During this milestone, the signal processing algorithm will be implemented and tested entirely in MATLAB.  In a future milestone, you will take the digital filtering steps designed in this lab and implement them on the ZYBO board.  We test the design first in MATLAB because it is much easier to manipulate and display the involved signals in MATLAB.

===== Goals =====
The basic operation of the system involves the following operations.
  - Convert the received signal into a sampled digital signal
  - Pass the signal through 10 bandpass filters with center frequencies of the 10 players
  - Determine if the target was hit (i.e., the signal is not just noise)
  - Determine the player

You will be designing the basic algorithms to accomplish this process.

===== Organization =====
This milestone is divided into three tasks.
  - [[Milestone 2 Task 1 | Task 1]]: Design 10 digital bandpass filters.  (These filters will operate on a signal sampled at 10 ksamples/s.)
  - [[Milestone 2 Task 2 | Task 2]]: Design down-sampling algorithm and analyze noise aliasing.  (The ZYBO board samples the signal at 100 ksamples/second, and we've designed our filter bank to operate on signals sampled at 10 ksamples/s.  Thus, we need to down-sample the signal, but want to minimize the aliasing of higher frequency noise into the player frequency bands.)
  - [[Milestone 2 Task 3 | Task 3]]: Analyze full system with noise.

==== IGNORE EVERYTHING AFTER THIS.  THE REST IS JUST LEFT OVER FROM WINTER 2015 ====



==== Milestone 2 Introductory Materials ====

  - Here are the {{::milestone_2_intro_lecture.pdf|slides}} from the introductory lecture for Milestone 2. 
  - Also, here are some additional {{::getting_started.pdf|slides}} to help you get started. 
  - Here is a {{::introtofilterdesign.pdf|review handout}} from ECEn 380.
  - Here are some simulated ADC: {{::receivertest1b.rtf|data.}}
  - Here is some MATLAB code to write and read ADC data files: {{:fileioexample.m.zip|}}
  - Here is some MATLAB code to write and read decimating FIR data files: {{:fileiodecimatingfirexample.m.zip}}
  - [[for_loops|Using for loops to implement filter command]]
  - [[data_sets|Here are some data sets to use as inputs]]


 - [[signal_processing|temp page]]

==== Milestone 2 Pass-Off Requirements ====

Here are the requirements for Milestone 2:  {{:milestone2passoffcriteria.pdf|}}
ECEN 390 - Laser Tag Project

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