THE AMBIGUITY DIAGRAM  

WAVEFORM1.M ambiguity waveform2 waveform3 function [reference, convolution] = waveform1(pts) % Waveform #1 is a unit pulse reference = ones(pts,1); % Reference is simply a vector of ones matchedir = reference; % Matchedir is the time-reversed version of reference, which is % the same thing in this case frange = -5:0.01:5; % look at frequencies between -5 and 5 convolution = []; % initialize convolution for i = 1:length(frange) freq = frange(i); realsig = real(exp(j * 2 * pi * freq * ([1:pts]') / pts)); imagsig = imag(exp(j * 2 * pi * freq * ([1:pts]') / pts)); % Break signal into real and imaginary components realconv = conv(realsig, matchedir); imagconv = conv(imagsig, matchedir); % Convolve each part individually convolution = [convolution, sqrt((realconv .* realconv) + (imagconv .* imagconv))]; % Build the convolution vector end ^ back to top ^

MOTIVATION – Why this is important OBJECTIVE – What we hoped to achieve AMBIGUITY DIAGRAM - What it is AMBIGUITY DIAGRAM - How to read it WAVEFORMS – The signals we analyzed RESULTS – Results for CW and PCM CHIRP - A closer look POSSIBLE EXTENTIONS – What’s next CODE - Fascinating stuff ACKNOWLEDGMENTS - Who we have to thank